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ORCIDMustapha Lebbah
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- affiliation: University of Paris 13, France
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2020 – today
- 2024
[j20]Kodjo Mawuena Amekoe
, Hanane Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre:
Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models. Neural Comput. Appl. 36(30): 18583-18611 (2024)- [c100]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: 5956-5965 - [c99]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang:
Normalisation Contextuelle : Une Nouvelle Approche pour la Stabilité et l'Amélioration des Performances des Réseaux de Neurones. EGC 2024: 95-106 - [c98]Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
AESim: A Data-Driven Aircraft Engine Simulator. IJCAI 2024: 8737-8740 - [c97]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang:
UAN: Unsupervised Adaptive Normalization. IJCNN 2024: 1-8 - [c96]Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. IJCNN 2024: 1-9 - [c95]Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah:
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. PAKDD (1) 2024: 271-283 - [c94]Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM 2024: 815-823 - [i26]Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah:
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. CoRR abs/2402.01050 (2024) - [i25]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra:
Context-Based Multimodal Fusion. CoRR abs/2403.04650 (2024) - [i24]Bilal Faye, Hanane Azzag, Mustapha Lebbah:
Cluster-Based Normalization Layer for Neural Networks. CoRR abs/2403.16798 (2024) - [i23]Bilal Faye, Mustapha Lebbah, Hanane Azzag:
Supervised Batch Normalization. CoRR abs/2405.17027 (2024) - [i22]Binta Sow, Bilal Faye, Hanane Azzag, Mustapha Lebbah:
LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training. CoRR abs/2408.10787 (2024) - [i21]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang:
Unsupervised Adaptive Normalization. CoRR abs/2409.04757 (2024) - [i20]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra:
Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. CoRR abs/2409.04759 (2024) - [i19]Kodjo Mawuena Amekoe, Mustapha Lebbah, Gregoire Jaffre, Hanene Azzag, Zaineb Chelly Dagdia:
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection. CoRR abs/2409.10111 (2024) - [i18]Bilal Faye, Hanane Azzag, Mustapha Lebbah:
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities. CoRR abs/2409.11059 (2024) - 2023
- [j19]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): 1683-1701 (2023) - [c93]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 - [c92]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: 639-640 - [c91]Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah:
Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. GECCO Companion 2023: 267-270 - [c90]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra:
Context Normalization Layer with Applications. ICDM (Workshops) 2023: 615-624 - [c89]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: 210-222 - [i17]Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng:
Context Normalization for Robust Image Classification. CoRR abs/2303.07651 (2023) - [i16]Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah:
Multiway clustering of 3-order tensor via affinity matrix. CoRR abs/2303.07757 (2023) - [i15]Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah:
DBSCAN of Multi-Slice Clustering for Third-Order Tensors. CoRR abs/2303.07768 (2023) - [i14]Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah:
Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. CoRR abs/2303.10154 (2023) - [i13]Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre:
Self-Reinforcement Attention Mechanism For Tabular Learning. CoRR abs/2305.11684 (2023) - [i12]Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun, Mustapha Lebbah:
Parallel Computation of Multi-Slice Clustering of Third-Order Tensors. CoRR abs/2309.17383 (2023) - [i11]Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR abs/2312.11169 (2023) - 2022
- [j18]Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag:
Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. 52(1): 358-377 (2022) - [j17]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: 107565 (2022) - [c88]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: 31-38 - [i10]Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. CoRR abs/2201.05079 (2022) - [i9]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 abs/2210.02089 (2022) - 2021
- [j16]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): 11 (2021) - [j15]Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Subspace data stream clustering with global and local weighting models. Neural Comput. Appl. 33(8): 3691-3712 (2021) - [j14]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): 17439-17469 (2021) - [c87]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: 71-87 - [c86]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: 556-563 - [c85]Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN 2021 - [c84]Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong:
A New Nearest Neighbor Median Shift Clustering for Binary Data. ICANN (5) 2021: 101-112 - [c83]Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah:
Multi-Slice Clustering for 3-order Tensor. ICMLA 2021: 173-178 - [c82]Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag:
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. ICMLA 2021: 662-667 - [i8]Andriantsiory Dina Faneva, Joseph Ben Geloun, Mustapha Lebbah:
Multi-Slice Clustering for 3-order Tensor Data. CoRR abs/2109.10803 (2021) - [i7]Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag:
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. CoRR abs/2109.13027 (2021) - 2020
- [j13]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): 3321-3386 (2020) - [c81]Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Clustering de séries temporelles par construction de dictionnaire. EGC 2020: 181-192 - [c80]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: 441-448 - [c79]Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Multi-objective data stream clustering. GECCO Companion 2020: 113-114 - [c78]Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR 2020: 9296-9303 - [c77]Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) 2020: 323-338 - [i6]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 abs/2006.08530 (2020) - [i5]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 abs/2008.00946 (2020) - [i4]Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR abs/2011.05847 (2020)
2010 – 2019
- 2019
- [j12]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): 213-226 (2019) - [j11]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: 128-139 (2019) - [c76]Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille:
Deep Embedded SOM: joint representation learning and self-organization. ESANN 2019 - [c75]Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Growing Neural Gas for Data Stream Clustering. ICANN (4) 2019: 569-580 - [c74]Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) 2019: 105-116 - [c73]Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck:
Algorithms for an Efficient Tensor Biclustering. PAKDD (Workshops) 2019: 130-138 - [c72]Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ 2019: 225-230 - [e6]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:
23rd International Conference on Information Visualisation, IV 2019, Paris, France, July 2-5, 2019, Part I. IEEE 2019, ISBN 978-1-7281-2838-2 [contents] - [i3]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 abs/1902.03833 (2019) - [i2]Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag:
Nearest Neighbor Median Shift Clustering for Binary Data. CoRR abs/1902.04181 (2019) - [i1]Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck:
Algorithms for an Efficient Tensor Biclustering. CoRR abs/1903.04042 (2019) - 2018
- [j10]Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag:
An Instance Based Model for Scalable θ-Subsumption. Int. J. Artif. Intell. Tools 27(7): 1860011:1-1860011:13 (2018) - [c71]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: 1918-1924 - [c70]Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag, Salima Benbernou, Mourad Ouziri, Tarn Duong:
A Complete Data Science Work-flow For Insurance Field. IEEE BigData 2018: 1925-1930 - [c69]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: 2597-2606 - [c68]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: 377-378 - [c67]Gaël Beck, Hanane Azzag, Mustapha Lebbah, Tarn Duong:
Mean-shift : Clustering scalable et distribué. EGC 2018: 415-425 - [c66]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Hierarchical Laplacian Score for unsupervised feature selection. IJCNN 2018: 1-7 - [c65]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: 239-250 - [c64]Christophe Cérin, Tarek Menouer, Mustapha Lebbah:
Accelerating the Computation of Multi-Objectives Scheduling Solutions for Cloud Computing. SC² 2018: 49-56 - [e5]Mustapha Lebbah, Christine Largeron, Hanane Azzag:
Extraction et Gestion des Connaissances, EGC 2018, Paris, France, January 23-26, 2018. RNTI E-34, Éditions RNTI 2018, ISBN 979-10-96289-07-3 [contents] - 2017
- [j9]Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri:
Big Data: from collection to visualization. Mach. Learn. 106(6): 837-862 (2017) - [c63]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: 911-916 - [c62]Christophe Cérin, Jean-Luc Gaudiot, Mustapha Lebbah, Foutse Yuehgoh:
Return of experience on the mean-shift clustering for heterogeneous architecture use case. IEEE BigData 2017: 3499-3507 - [c61]Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanane Azzag:
Nouveau modèle pour un passage à l'échelle de la 0-subsomption. EGC 2017: 339-344 - [c60]Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag:
An Instance Based Model for Scalable Theta -Subsumption. ICTAI 2017: 846-852 - 2016
- [j8]Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag:
A new Growing Neural Gas for clustering data streams. Neural Networks 78: 36-50 (2016) - [j7]Tarn Duong, Gaël Beck, Hanene Azzag, Mustapha Lebbah:
Nearest neighbour estimators of density derivatives, with application to mean shift clustering. Pattern Recognit. Lett. 80: 224-230 (2016) - [c59]Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani:
GTM Mixture through time for sequential data. IJCNN 2016: 2805-2810 - [c58]Gaël Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah:
Distributed mean shift clustering with approximate nearest neighbours. IJCNN 2016: 3110-3115 - [c57]Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag-Khelif:
A new Model for Scalable θ-subsumption. ILP (Short Papers) 2016: 41-47 - [c56]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: 187-196 - 2015
- [j6]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): 1550007:1-1550007:29 (2015) - [c55]Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa:
How to use ants for data stream clustering. CEC 2015: 656-663 - [c54]Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag:
Clustering topologique pour le flux de données. EGC 2015: 137-142 - [c53]Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah:
Modèle de Biclustering dans un paradigme "Mapreduce". EGC 2015: 467-468 - [c52]Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa:
Clustering of Binary Data Sets Using Artificial Ants Algorithm. ICONIP (1) 2015: 716-723 - [c51]Nhat-Quang Doan, Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah:
Growing Hierarchical Trees for Data Stream clustering and visualization. IJCNN 2015: 1-8 - [c50]Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag:
Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. INNS Conference on Big Data 2015: 158-166 - [c49]Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag:
Clustering Over Data Streams Based on Growing Neural Gas. PAKDD (2) 2015: 134-145 - 2014
- [c48]Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag:
Biclustering using Spark-MapReduce. IEEE BigData 2014: 58-60 - [c47]Amine Chaibi, Hanane Azzag, Mustapha Lebbah:
Pondération de blocs de variables en bi-partitionnement topologique. EGC 2014: 317-328 - [c46]Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah:
G-Stream: Growing Neural Gas over Data Stream. ICONIP (1) 2014: 207-214 - [c45]Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi:
Feature Group Weighting and Topological Biclustering. ICONIP (2) 2014: 369-376 - [c44]Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah:
SOM Clustering Using Spark-MapReduce. IPDPS Workshops 2014: 1727-1734 - [c43]Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle:
Incremental clustering of data stream using real ants behavior. NaBIC 2014: 262-268 - [p2]Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
Détection de nouveautés en utilisant un nouveau score de détection de "groupes-outliers". Fouille de données complexes 2014: 89-108 - [e4]Guillaume Cleuziou, Cyril de Runz, Germain Forestier, Mustapha Lebbah:
Fouille de Données Complexes, 2014. Revue des Nouvelles Technologies de l'Information E-27, Hermann-Éditions 2014 [contents] - 2013
- [j5]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) - [c42]Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
Nouvelle approche de bi-partitionnement topologique. EGC 2013: 37-48 - [c41]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Sélection de variables non supervisée sous contraintes hiérarchiques. EGC 2013: 67-78 - [c40]Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
A new bi-clustering approach using topological maps. IJCNN 2013: 1-7 - [c39]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini:
Self-organizing trees for visualizing protein dataset. IJCNN 2013: 1-8 - [c38]Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
A New Visualization of Group-Outliers in Unsupervised Learning. IV 2013: 162-167 - [c37]Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle:
Clustering using chemical and colonial odors of real ants. NaBIC 2013: 207-213 - [e3]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:
17th International Conference on Information Visualisation, IV 2013, London, United Kingdom, July 16-18, 2013. IEEE Computer Society 2013, ISBN 978-0-7695-5049-7 [contents] - 2012
- [c36]Amine Chaibi, Hanane Azzag, Mustapha Lebbah:
Automatic Group-Outlier Detection. ESANN 2012 - [c35]Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
Détection de groupes outliers en classification non supervisée. EGC 2012: 119-124 - [c34]Rakia Jaziri, Mustapha Lebbah, Younès Bennani:
Classification probabiliste non supervisée et visualisation des données séquentielles. EGC 2012: 137-148 - [c33]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Clustering multi-niveaux de graphes : hiérarchique et topologique. EGC 2012: 567-568 - [c32]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Self-Organizing Map and Tree Topology for Graph Summarization. ICANN (2) 2012: 363-370 - [c31]Amine Chaibi, Mustapha Lebbah, Hanane Azzag:
Novelty Detection Using a New Group Outlier Factor. ICONIP (3) 2012: 364-372 - [c30]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Growing Self-organizing Trees for knowledge discovery from data. IJCNN 2012: 1-8 - [c29]Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah:
Graph Decomposition Using Self-organizing Trees. IV 2012: 246-251 - [e2]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:
16th International Conference on Information Visualisation, IV 2012, Montpellier, France, July 11-13, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2260-7 [contents] - 2011
- [j4]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
A Self-Organizing Map for mixed continuous and Categorical Data. Int. J. Comput. 10(1): 24-32 (2011) - [j3]Hanene Azzag, Mustapha Lebbah:
Self-Organizing Tree Using Artificial Ants. J. Inf. Technol. Res. 4(2): 1-16 (2011) - [c28]Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu:
Pondération et classification simultanée de données binaires et continues. EGC 2011: 65-70 - [c27]Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot:
Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions. EGC 2011: 311-312 - [c26]Hanane Azzag, Mustapha Lebbah:
Une nouvelle approche visuelle pour la classification hiérarchique et topologique. EGC 2011: 677-688 - [c25]Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot:
SOS-HMM: Self-Organizing Structure of Hidden Markov Model. ICANN (2) 2011: 87-94 - [c24]Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
Probabilistic Self-Organizing Maps for multivariate sequences. IJCNN 2011: 851-858 - [c23]Hanane Azzag, Mustapha Lebbah:
A New Way for Hierarchical and Topological Clustering. EGC (best of volume) 2011: 85-97 - [p1]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. Fouille de données complexes 2011: 53-80 - [e1]Guillaume Cleuziou, Mustapha Lebbah, Arnaud Martin, Boutheina Ben Yaghlane:
Fouille de données complexes. Complexité liée aux données multiples. RNTI E-21, Hermann-Éditions 2011 [contents] - 2010
- [j2]Mustapha Lebbah, Khalid Benabdeslem:
Visualization and clustering of categorical data with probabilistic self-organizing map. Neural Comput. Appl. 19(3): 393-404 (2010) - [c22]Mustapha Lebbah, Younès Bennani:
Sous-échantillonnage topographique par apprentissage semi-supervisé. EGC 2010: 121-126 - [c21]Hanane Azzag, Mustapha Lebbah:
Auto-organisation topologique et hiérarchique des données. EGC 2010: 555-560 - [c20]Hanene Azzag, Mustapha Lebbah, Aymen Arfaoui:
Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. ICMLA 2010: 873-878 - [c19]Mustapha Lebbah, Hanane Azzag:
Topological Hierarchical Tree Using Artificial Ants. ICONIP (1) 2010: 652-659 - [c18]Fatma Hamdi, Mustapha Lebbah, Younès Bennani:
Topographic under-sampling for unbalanced distributions. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c17]Hanane Azzag, Mustapha Lebbah:
A New Approach for Auto-organizing a Groups of Artificial Ants. ECAL (2) 2009: 440-447 - [c16]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. EGC (best of volume) 2009: 133-147 - [c15]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Caractérisation automatique des classes découvertes en classification non supervisée. EGC 2009: 43-54 - [c14]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
From variable weighting to cluster characterization in topographic unsupervised learning. IJCNN 2009: 1005-1010 - 2008
- [j1]Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi:
A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. Int. J. Comput. Intell. Appl. 7(4): 363-383 (2008) - [c13]Hanane Azzag, Mustapha Lebbah:
Clustering of Self-Organizing Map. ESANN 2008: 209-214 - [c12]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Pondération locale des variables en apprentissage numérique non-supervisé. EGC 2008: 321-330 - [c11]Mustapha Lebbah, Hanane Azzag:
Segmentation hiérarchique des cartes topologiques. EGC 2008: 631-642 - [c10]Mustapha Lebbah, Younès Bennani, Hamid Benhadda:
Relational Analysis for Consensus Clustering from Multiple Partitions. ICMLA 2008: 218-223 - [c9]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
Probabilistic Mixed Topological Map for Categorical and Continuous Data. ICMLA 2008: 224-231 - 2007
- [c8]Mohamed Ramzi Temanni, Mustapha Lebbah, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker:
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 2007: 33-44 - [c7]Khalid Benabdeslem, Mustapha Lebbah, Alexandre Aussem, Marilys Corbex:
Approche connexionniste pour l'extraction de profils cas-témoins du cancer du Nasopharynx à partir des données issues d'une étude épidémiologique. EGC 2007: 445-454 - [c6]Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
BeSOM : Bernoulli on Self-Organizing Map. IJCNN 2007: 631-636 - 2006
- [c5]Mustapha Lebbah, Mohamed Ramzi Temanni, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker:
Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM. AAFD 2006: 43-64 - 2005
- [c4]Mustapha Lebbah, Aymeric Chazottes, Fouad Badran, Sylvie Thiria:
Mixed Topological Map. ESANN 2005: 357-362 - 2004
- [c3]Mustapha Lebbah, Fouad Badran, Sylvie Thiria:
Visualization and classification with categorical topological map. ESANN 2004: 459-464 - 2003
- [b1]Mustapha Lebbah:
Carte topologique pour données qualitatives: application à la reconnaissance automatique de la densité du trafic routier. Versailles Saint-Quentin-en-Yvelines University, France, 2003 - 2002
- [c2]Mustapha Lebbah, Christian Chabanon, Fouad Badran, Sylvie Thiria:
Categorical Topological Map. ICANN 2002: 890-895 - 2000
- [c1]Mustapha Lebbah, Fouad Badran, Sylvie Thiria:
Topological map for binary data. ESANN 2000: 267-272
Coauthor Index
Mohammed Oualid Attaoui
aka: Mohammed Walid Attaoui
aka: Mohammed Walid Attaoui
[j20] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j19] [c93] [c92] [c91] [c90] [c89] [i17] [i14] [i13] [i11] [j18] [j17] [c88] [i10] [i9] [j15] [j14] [c87] [c86] [c85] [c84] [c82] [i7] [c81] [c80] [c79] [c78] [c77] [i6] [i5] [i4] [j12] [j11] [c76] [c75] [c74] [c73] [c72] [e6] [i3] [i2] [i1] [j10] [c71] [c70] [c69] [c67] [c66] [c65] [e5] [j9] [c61] [c60] [j8] [j7] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [p2] [j5] [c42] [c41] [c40] [c39] [c38] [c37] [e3] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [e2] [j3] [c26] [c23] [c21] [c20] [c19] [c17] [c13] [c11]
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