M. Lebbah

发表

LEARNING SELF-ORGANIZING MIXTURE MARKOV MODELS

Younès Bennani, Nicoleta Rogovschi, M. Lebbah, 2010 .

Mean-shift : Clustering scalable et distribué

Mustapha Lebbah, Hanene Azzag, Gaël Beck, 2018, EGC.

Transformer-based conditional generative adversarial network for multivariate time series generation

M. Lebbah, J. Lacaille, Abdellah Madane, 2022, ArXiv.

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

Z. Halim, Shanshan Tu, M. Lebbah, 2021, Journal of Grid Computing.

Subspace data stream clustering with global and local weighting models

Mohammed Oualid Attaoui, Hanene Azzag, M. Lebbah, 2020, Neural Computing and Applications.

Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion

M. Lebbah, J. Lacaille, Florent Forest, 2020, ArXiv.

Feature Group Weighting and Topological Biclustering

Mustapha Lebbah, Hanene Azzag, Amine Chaibi, 2014, ICONIP.

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

Maher Ben Jemaa, Mustapha Lebbah, Cyrille Bertelle, 2016, KES.

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

Mustapha Lebbah, Loïc Giraldi, Anthony Coutant, 2021, ESANN.

State-of-the-art on clustering data streams

Mustapha Lebbah, Hanene Azzag, Mohammed Ghesmoune, 2016 .

Subspace data stream clustering with global and local weighting models

Mustapha Lebbah, Mohammed Oualid Attaoui, Hanene Azzag, 2020, Neural Computing and Applications.

Nearest Neighbor Median Shift Clustering for Binary Data pdf

Mustapha Lebbah, Hanene Azzag, Gaël Beck, 2019, ICANN.

Nearest neighbour estimators of density derivatives, with application to mean shift clustering

Mustapha Lebbah, Hanene Azzag, Gaël Beck, 2016, Pattern Recognit. Lett..

Distributed mean shift clustering with approximate nearest neighbours

Mustapha Lebbah, Hanene Azzag, Gaël Beck, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Mustapha Lebbah, Hanene Azzag, Loïc Giraldi, 2021, AALTD@ECML/PKDD.

A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering pdf

Mustapha Lebbah, Christophe Cérin, Hanene Azzag, 2019, J. Parallel Distributed Comput..

Autonomous Driving Validation with Model-Based Dictionary Clustering

Hanene Azzag, M. Lebbah, L. Giraldi, 2020, ECML/PKDD.

A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework

Christine Zarges, Mustapha Lebbah, Zaineb Chelly Dagdia, 2017, 2017 IEEE International Conference on Big Data (Big Data).

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

Hanene Azzag, M. Lebbah, M. Dilmi, 2023, ArXiv.

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

Mustapha Lebbah, Anissa Zergaïnoh-Mokraoui, Hanene Azzag, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Topographic under-sampling for unbalanced distributions

Mustapha Lebbah, Younès Bennani, Fatma Hamdi, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Group Outlier factor: a New Score using Self-Organising Map for Group-Outlier and Novelty Detection

Mustapha Lebbah, Hanene Azzag, Amine Chaibi, 2013, Int. J. Comput. Intell. Appl..

Novelty Detection Using a New Group Outlier Factor

Mustapha Lebbah, Hanene Azzag, Amine Chaibi, 2012, ICONIP.

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

Mustapha Lebbah, Florent Forest, J'erome Lacaille, 2020, ArXiv.

Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models

Mustapha Lebbah, Jérôme Lacaille, Florent Forest, 2020 .

A new Model for Scalable θ-subsumption

Mustapha Lebbah, Hippolyte Léger, Dominique Bouthinon, 2016, ILP.

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

Zahid Halim, Mustapha Lebbah, Shanshan Tu, 2021, J. Grid Comput..

Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion

M. Lebbah, J. Lacaille, Florent Forest, 2020, PAKDD.

Relational Analysis for Clustering Consensus

Mustapha Lebbah, Younès Bennani, Nistor Grozavu, 2010 .

Relational Analysis for Consensus Clustering from Multiple Partitions

Mustapha Lebbah, Younès Bennani, Hamid Benhadda, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Biophysical regions identification using an artificial neuronal network: A case study in the South Western Atlantic

C. Provost, M. Saraceno, M. Lebbah, 2006 .

PREDON Scientific Data Preservation 2014

Anne Laurent, Mustapha Lebbah, Salima Benbernou, 2014 .

Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation pdf

Mustapha Lebbah, Anthony Coutant, Hanane Azzag, 2020, ArXiv.

A Big Data Platform for Enhancing Life Imaging Activities

Mustapha Lebbah, Salima Benbernou, Christophe Cérin, 2019, Advances in Business Information Systems and Analytics.

Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset

Hanene Azzag, M. Lebbah, M. Dilmi, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

A scalable and effective rough set theory-based approach for big data pre-processing

Christine Zarges, Mustapha Lebbah, Gaël Beck, 2020, Knowledge and Information Systems.

Aberystwyth University A Scalable and Effective Rough Set Theory based Approach for Big Data Pre- processing

Zaineb Chelly Dagdia, M. Lebbah, C. Zarges, 2020 .

A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing

Christine Zarges, Mustapha Lebbah, Hanene Azzag, 2018, 2018 IEEE International Conference on Big Data (Big Data).

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

Mustapha Lebbah, Jérôme Lacaille, Hanene Azzag, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Self-Reinforcement Attention Mechanism For Tabular Learning

Zaineb Chelly Dagdia, Hanene Azzag, M. Lebbah, 2023, ArXiv.

Clustering using chemical and colonial odors of real ants

Mustapha Lebbah, Cyrille Bertelle, Hanene Azzag, 2013, 2013 World Congress on Nature and Biologically Inspired Computing.

A new Growing Neural Gas for clustering data streams

Mustapha Lebbah, Hanene Azzag, Mohammed Ghesmoune, 2016, Neural Networks.

Growing Hierarchical Trees for Data Stream clustering and visualization

Mustapha Lebbah, Hanene Azzag, Mohammed Ghesmoune, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Clustering Over Data Streams Based on Growing Neural Gas

Mustapha Lebbah, Hanene Azzag, Mohammed Ghesmoune, 2015, PAKDD.

G-Stream: Growing Neural Gas over Data Stream

Mustapha Lebbah, Hanene Azzag, Mohammed Ghesmoune, 2014, ICONIP.

Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data

Mustapha Lebbah, Younès Bennani, Rakia Jaziri, 2015, Int. J. Comput. Intell. Appl..

Probabilistic Self-Organizing Maps for multivariate sequences

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2011, The 2011 International Joint Conference on Neural Networks.

Incremental clustering of data stream using real ants behavior

Mustapha Lebbah, Cyrille Bertelle, Hanene Azzag, 2014, 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC 2014).

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering

Mustapha Lebbah, Jérôme Lacaille, Hanene Azzag, 2021, Neural Computing and Applications.

Deep Embedded SOM: joint representation learning and self-organization

Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille, 2019, ESANN.

Visualization and classification with categorical topological map

Mustapha Lebbah, Fouad Badran, Sylvie Thiria, 2004, The European Symposium on Artificial Neural Networks.

An Invariance-guided Stability Criterion for Time Series Clustering Validation

Mustapha Lebbah, Jérôme Lacaille, Hanene Azzag, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

GTM Mixture through time for sequential data

Mustapha Lebbah, Younès Bennani, Faicel Chamroukhi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Growing self-organizing trees for autonomous hierarchical clustering.

Mustapha Lebbah, Nhat-Quang Doan, Hanane Azzag, 2013, Neural networks : the official journal of the International Neural Network Society.

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

Mustapha Lebbah, Younès Bennani, Rakia Jaziri, 2011, ICANN.

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

Mustapha Lebbah, Stéphanie Bougeard, Hanene Azzag, 2018, INNS Conference on Big Data.

Transfer learning from synthetic labels for histopathological images classification

Mustapha Lebbah, Nassima Dif, Zakaria Elberrichi, 2021, Applied Intelligence.

Transfer learning from synthetic labels for histopathological images classification

Hanene Azzag, M. Lebbah, Z. Elberrichi, 2021, Applied Intelligence.

Self-Organizing Tree Using Artificial Ants

Mustapha Lebbah, Hanene Azzag, Hanene Azzag, 2011, J. Inf. Technol. Res..

Topological Hierarchical Tree Using Artificial Ants

Mustapha Lebbah, Hanene Azzag, Hanene Azzag, 2010, ICONIP.

An Instance Based Model for Scalable Theta -Subsumption

Mustapha Lebbah, Hanene Azzag, Hippolyte Léger, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Clustering de séries temporelles par construction de dictionnaire

Mustapha Lebbah, Hanene Azzag, Loïc Giraldi, 2020, EGC.

Self-Organizing Map and Tree Topology for Graph Summarization

Mustapha Lebbah, Hanene Azzag, Nhat-Quang Doan, 2012, ICANN.

Probabilistic Mixed Topological Map for Categorical and Continuous Data

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Multiway clustering of 3-order tensor via affinity matrix

M. Lebbah, J. B. Geloun, Dina Faneva Andriantsiory, 2023, ArXiv.

TabSRA: An Attention based Self-Explainable Model for Tabular Learning

Zaineb Chelly Dagdia, Hanene Azzag, M. Lebbah, 2023, ESANN.

Adaptative Context Normalization: A Boost for Deep Learning in Image Processing

D. Bouchaffra, M. Lebbah, Hanene Azzag, 2024, 2024 IEEE International Conference on Image Processing (ICIP).

UAN: Unsupervised Adaptive Normalization

Hanene Azzag, M. Lebbah, Bilal Faye, 2024, 2024 International Joint Conference on Neural Networks (IJCNN).

Supervised Batch Normalization

M. Lebbah, Hanane Azzag, Bilal Faye, 2024, ArXiv.

Cluster-Based Normalization Layer for Neural Networks

M. Lebbah, Hanane Azzag, Bilal Faye, 2024, ArXiv.

Context Normalization Layer with Applications

Hanene Azzag, D. Bouchaffra, M. Lebbah, 2023, 2023 IEEE International Conference on Data Mining Workshops (ICDMW).