Mustapha Lebbah

Gregoire Jaffre

Zaineb Chelly Dagdia

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Unsupervised Adaptive Normalization.

[BibT_eX]

[DOI]

CoRR, 2024

LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training.

[BibT_eX]

[DOI]

CoRR, 2024

Supervised Batch Normalization.

[BibT_eX]

[DOI]

CoRR, 2024

Cluster-Based Normalization Layer for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Context-Based Multimodal Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

UAN: Unsupervised Adaptive Normalization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

AESim: A Data-Driven Aircraft Engine Simulator.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods.

[BibT_eX]

[DOI]

Santiago Cordoba Muñoz

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Regions of interest selection in histopathological images using subspace and multi-objective stream clustering.

[BibT_eX]

[DOI]

Nassima Dif

Dina Faneva Andriantsiory

Vis. Comput., April, 2023

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

[BibT_eX]

[DOI]

Camille Coti

CoRR, 2023

Self-Reinforcement Attention Mechanism For Tabular Learning.

[BibT_eX]

[DOI]

Kodjo Mawuena Amekoe

CoRR, 2023

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

[BibT_eX]

[DOI]

Dina Faneva Andriantsiory

CoRR, 2023

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

[BibT_eX]

[DOI]

Dina Faneva Andriantsiory

CoRR, 2023

Multiway clustering of 3-order tensor via affinity matrix.

[BibT_eX]

[DOI]

CoRR, 2023

Context Normalization for Robust Image Classification.

[BibT_eX]

[DOI]

Fangchen Feng

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Context Normalization Layer with Applications.

[BibT_eX]

[DOI]

Djamel Bouchaffra

Proceedings of the IEEE International Conference on Data Mining, 2023

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

[BibT_eX]

[DOI]

Mohammed Walid Attaoui

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.

[BibT_eX]

[DOI]

Reda Khoufache

Étienne Goffinet

Proceedings of the Extraction et Gestion des Connaissances, 2023

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

[BibT_eX]

[DOI]

Kodjo Mawuena Amekoe

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2022

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

[BibT_eX]

[DOI]

Abdellah Madane

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Transfer learning from synthetic labels for histopathological images classification.

[BibT_eX]

[DOI]

Nassima Dif

Zakaria Elberrichi

Appl. Intell., 2022

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

[BibT_eX]

[DOI]

Reda Khoufache

Etienne Gofinnet

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.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Subspace data stream clustering with global and local weighting models.

[BibT_eX]

[DOI]

Andriantsiory Dina Faneva

Neural Comput. Appl., 2021

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

[BibT_eX]

[DOI]

J. Grid Comput., 2021

Multi-Slice Clustering for 3-order Tensor Data.

[BibT_eX]

[DOI]

Andriantsiory Dina Faneva

CoRR, 2021

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

[BibT_eX]

[DOI]

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

Multi-Slice Clustering for 3-order Tensor.

[BibT_eX]

[DOI]

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

A New Nearest Neighbor Median Shift Clustering for Binary Data.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Autonomous Driving Validation with Model-Based Dictionary Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Multi-objective data stream clustering.

[BibT_eX]

[DOI]

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

Clustering de séries temporelles par construction de dictionnaire.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2019

An ant-based new clustering model for graph proximity construction.

[BibT_eX]

[DOI]

Int. J. Bio Inspired Comput., 2019

Nearest Neighbor Median Shift Clustering for Binary Data.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Soft Subspace Topological Clustering over Evolving Data Stream.

[BibT_eX]

[DOI]

Andriantsiory Dina Faneva

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.

[BibT_eX]

[DOI]

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

Algorithms for an Efficient Tensor Biclustering.

[BibT_eX]

[DOI]

Gaël Beck

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

Soft Subspace Growing Neural Gas for Data Stream Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

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

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2018

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

[BibT_eX]

[DOI]

Christophe Cérin

Tarek Menouer

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

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

[BibT_eX]

[DOI]

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

Hierarchical Laplacian Score for unsupervised feature selection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2018

Mean-shift : Clustering scalable et distribué.

[BibT_eX]

[DOI]

Proceedings of the Extraction et Gestion des Connaissances, 2018

A Complete Data Science Work-flow For Insurance Field.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2017

Big Data: from collection to visualization.

[BibT_eX]

[DOI]

Mach. Learn., 2017

An Instance Based Model for Scalable Theta -Subsumption.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

A new Growing Neural Gas for clustering data streams.

[BibT_eX]

[DOI]

Neural Networks, 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

GTM Mixture through time for sequential data.

[BibT_eX]

[DOI]

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

Distributed mean shift clustering with approximate nearest neighbours.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2015

Clustering Over Data Streams Based on Growing Neural Gas.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the INNS Conference on Big Data 2015, 2015

Growing Hierarchical Trees for Data Stream clustering and visualization.

[BibT_eX]

[DOI]

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

Clustering of Binary Data Sets Using Artificial Ants Algorithm.

[BibT_eX]

[DOI]

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

Modèle de Biclustering dans un paradigme "Mapreduce".

[BibT_eX]

[DOI]

Tugdual Sarazin

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

Clustering topologique pour le flux de données.

[BibT_eX]

[DOI]

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

How to use ants for data stream clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Incremental clustering of data stream using real ants behavior.

[BibT_eX]

[DOI]

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

SOM Clustering Using Spark-MapReduce.

[BibT_eX]

[DOI]

Tugdual Sarazin

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

Feature Group Weighting and Topological Biclustering.

[BibT_eX]

[DOI]

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

G-Stream: Growing Neural Gas over Data Stream.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Fouille de Données Complexes, 2014, 2014

Pondération de blocs de variables en bi-partitionnement topologique.

[BibT_eX]

[DOI]

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

Biclustering using Spark-MapReduce.

[BibT_eX]

[DOI]

Tugdual Sarazin

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.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Appl., 2013

Clustering using chemical and colonial odors of real ants.

[BibT_eX]

[DOI]

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

A New Visualization of Group-Outliers in Unsupervised Learning.

[BibT_eX]

[DOI]

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

Self-organizing trees for visualizing protein dataset.

[BibT_eX]

[DOI]

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

A new bi-clustering approach using topological maps.

[BibT_eX]

[DOI]

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

Sélection de variables non supervisée sous contraintes hiérarchiques.

[BibT_eX]

[DOI]

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

Nouvelle approche de bi-partitionnement topologique.

[BibT_eX]

[DOI]

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

2012

Graph Decomposition Using Self-organizing Trees.

[BibT_eX]

[DOI]

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

Growing Self-organizing Trees for knowledge discovery from data.

[BibT_eX]

[DOI]

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

Novelty Detection Using a New Group Outlier Factor.

[BibT_eX]

[DOI]

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

Self-Organizing Map and Tree Topology for Graph Summarization.

[BibT_eX]

[DOI]

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

Classification probabiliste non supervisée et visualisation des données séquentielles.

[BibT_eX]

[DOI]

Rakia Jaziri

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

Clustering multi-niveaux de graphes : hiérarchique et topologique.

[BibT_eX]

[DOI]

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

Détection de groupes outliers en classification non supervisée.

[BibT_eX]

[DOI]

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

Automatic Group-Outlier Detection.

[BibT_eX]

[DOI]

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

2011

A New Way for Hierarchical and Topological Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Management, 2011

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

[BibT_eX]

[DOI]

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

Self-Organizing Tree Using Artificial Ants.

[BibT_eX]

[DOI]

J. Inf. Technol. Res., 2011

A Self-Organizing Map for mixed continuous and Categorical Data.

[BibT_eX]

[DOI]

Int. J. Comput., 2011

Probabilistic Self-Organizing Maps for multivariate sequences.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Pondération et classification simultanée de données binaires et continues.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Une nouvelle approche visuelle pour la classification hiérarchique et topologique.

[BibT_eX]

[DOI]

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

2010

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

[BibT_eX]

[DOI]

Khalid Benabdeslem

Neural Comput. Appl., 2010

Topographic under-sampling for unbalanced distributions.

[BibT_eX]

[DOI]

Fatma Hamdi

Proceedings of the International Joint Conference on Neural Networks, 2010

Topological Hierarchical Tree Using Artificial Ants.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Aymen Arfaoui

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

Sous-échantillonnage topographique par apprentissage semi-supervisé.

[BibT_eX]

[DOI]

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

Auto-organisation topologique et hiérarchique des données.

[BibT_eX]

[DOI]

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

2009

From variable weighting to cluster characterization in topographic unsupervised learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2009

Caractérisation automatique des classes découvertes en classification non supervisée.

[BibT_eX]

[DOI]

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

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2008

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

[BibT_eX]

[DOI]

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

Probabilistic Mixed Topological Map for Categorical and Continuous Data.

[BibT_eX]

[DOI]

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

Relational Analysis for Consensus Clustering from Multiple Partitions.

[BibT_eX]

[DOI]

Hamid Benhadda

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

Segmentation hiérarchique des cartes topologiques.

[BibT_eX]

[DOI]

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

Pondération locale des variables en apprentissage numérique non-supervisé.

[BibT_eX]

[DOI]

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

Clustering of Self-Organizing Map.

[BibT_eX]

[DOI]

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

2007

BeSOM : Bernoulli on Self-Organizing Map.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mohamed Ramzi Temanni