Younès Bennani

According to our database, Younès Bennani authored at least 164 papers between 1990 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Modular Neural Network Approaches for Surgical Image Recognition.

Nosseiba Ben Salem, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory

CoRR, 2023

Self-Training and Modular Approaches for Surgical Image Recognition.

Nosseiba Ben Salem, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory

Proceedings of the International Joint Conference on Neural Networks, 2023

Modular Self-Supervised Learning for Hand Surgical Diagnosis.

Léo Déchaumet, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory

Proceedings of the International Joint Conference on Neural Networks, 2023

On the Use of Persistent Homology to Control the Generalization Capacity of a Neural Network.

Abir Barbara, Younès Bennani, Joseph Karkazan

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Hierarchical optimal transport for unsupervised domain adaptation.

Mourad El Hamri, Younès Bennani, Issam Falih

Mach. Learn., 2022

Collaborative Learning to Improve the Non-uniqueness of NMF.

Kaoutar Benlamine, Younès Bennani, Basarab Matei, Nistor Grozavu, Issam Falih

Int. J. Comput. Intell. Appl., 2022

Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport.

Mourad El Hamri, Younès Bennani, Issam Falih

CoRR, 2022

Incremental Unsupervised Domain Adaptation Through Optimal Transport.

Mourad El Hamri, Younès Bennani, Issam Falih

Proceedings of the International Joint Conference on Neural Networks, 2022

Quantum Approach for Vertex Separator Problem in Directed Graphs.

Ahmed Zaiou, Younès Bennani, Mohamed Hibti, Basarab Matei

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport.

Mourad El Hamri, Younès Bennani, Issam Falih

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

A quantum learning approach based on Hidden Markov Models for failure scenarios generation.

Ahmed Zaiou, Younès Bennani, Basarab Matei, Mohamed Hibti

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

2021

Data Anonymization through Collaborative Multi-view Microaggregation.

Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui

J. Intell. Syst., 2021

Unsupervised collaborative learning based on Optimal Transport theory.

Fatima Ezzahraa Ben Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani

J. Intell. Syst., 2021

Hierarchical Optimal Transport for Unsupervised Domain Adaptation.

Mourad El Hamri, Younès Bennani, Issam Falih, Hamid Ahaggach

CoRR, 2021

On the use of Wasserstein metric in topological clustering of distributional data.

Guénaël Cabanes, Younès Bennani, Rosanna Verde, Antonio Irpino

CoRR, 2021

Unsupervised collaborative learning using privileged information.

Yohan Foucade, Younès Bennani

CoRR, 2021

Selective information exchange in collaborative clustering using regularized Optimal Transport.

Fatima Ezzahraa Ben Bouazza, Younès Bennani

CoRR, 2021

Incremental Semi-Supervised Learning Through Optimal Transport.

Mourad El Hamri, Younès Bennani

CoRR, 2021

Balanced K-means using Quantum annealing.

Ahmed Zaiou, Younès Bennani, Basarab Matei, Mohamed Hibti

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Label Propagation Through Optimal Transport.

Mourad El Hamri, Younès Bennani, Issam Falih

Proceedings of the International Joint Conference on Neural Networks, 2021

Incorporating Neighborhood Information During NMF Learning.

Michel Kaddouh, Guénaël Cabanes, Younès Bennani

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Inductive Semi-supervised Learning Through Optimal Transport.

Mourad El Hamri, Younès Bennani, Issam Falih

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Convex Non-negative Matrix Factorization Through Quantum Annealing.

Ahmed Zaiou, Basarab Matei, Younès Bennani, Mohamed Hibti

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Collaborative Random Forests Learning.

Yohan Foucade, Younès Bennani, Zakaria Aabbou

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

A survey on domain adaptation theory.

Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani

CoRR, 2020

Unsupervised Learning from Data and Learners.

Yohan Foucade, Younès Bennani

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Subspace Guided Collaborative Clustering Based on Optimal Transport.

Fatima Ezzahraa Ben Bouazza, Younès Bennani, Abdelfettah Touzani, Guénaël Cabanes

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Quantum Semi Non-negative Matrix Factorization.

Kaoutar Benlamine, Younès Bennani, Basarab Matei, Nistor Grozavu

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Quantum Collaborative K-means.

Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Matei

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Two-Levels Data Anonymization Approach.

Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Collaborative Clustering Through Optimal Transport.

Fatima Ezzahraa Ben Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

A new sparse representation learning of complex data: Application to dynamic clustering of web navigation.

Parisa Rastin, Guénaël Cabanes, Basarab Matei, Younès Bennani, Jean-Marc Marty

Pattern Recognit., 2019

Impact of Learners' Quality and Diversity in Collaborative Clustering.

Parisa Rastin, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani

J. Artif. Intell. Soft Comput. Res., 2019

Preserving Utility during Attribute-oriented Data Anonymization Process.

Sarah Zouinina, Younès Bennani, Maha Ben-Fares, Nicoleta Rogovschi, Abdelouahid Lyhyaoui

Aust. J. Intell. Inf. Process. Syst., 2019

Deepness Analysis of Learned Factors in Multilayer NMF.

Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Abdelfettah Touzani

Aust. J. Intell. Inf. Process. Syst., 2019

Multi-view Clustering through Optimal Transport.

Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri, Guénaël Cabanes, Basarab Matei, Abdelfettah Touzani

Aust. J. Intell. Inf. Process. Syst., 2019

Automatic detection of the support points in relational clustering.

Parisa Rastin, Younès Bennani, Rosanna Verde

Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Histogram-Based Model Using Unsupervised Learning.

Parisa Rastin, Guénaël Cabanes, Rosanna Verde, Younès Bennani, Thierry Couronne

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Distance Estimation for Quantum Prototypes Based Clustering.

Kaoutar Benlamine, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei, Nistor Grozavu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Collaborative Non-negative Matrix Factorization.

Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Basarab Matei

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Collaborative clustering: Why, when, what and how.

Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani

Inf. Fusion, 2018

Community detection in Attributed Network.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Efficient k-Anonymization through Constrained Collaborative Clustering.

Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Topological multi-view clustering for collaborative filtering.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

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

Domain Name Recommendation based on Neural Network.

Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Nicoleta Rogovschi, Kamel Haddadou, Ahmed Amamou

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

Optimizing exchange confidence during collaborative clustering.

Jérémie Sublime, Denis Maurel, Nistor Grozavu, Basarab Matei, Younès Bennani

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Collaborative Multi-View Attributed Networks Mining.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani, Basarab Matei

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Learning Useful Representations Through Stacked Self-Organizing Maps.

Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Basarab Matei

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Online Semi-supervised Growing Neural Gas for Multi-label Data Classification.

Samira Boulbazine, Guénaël Cabanes, Basarab Matei, Younès Bennani

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering.

Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Entropy based probabilistic collaborative clustering.

Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Pattern Recognit., 2017

Collaborative clustering between different topological partitions.

Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Co-clustering through Optimal Transport.

Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault

Proceedings of the 34th International Conference on Machine Learning, 2017

ANCA : Attributed Network Clustering Algorithm.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

Non-negative embedding for fully unsupervised domain adaptation.

Ievgen Redko, Younès Bennani

Pattern Recognit. Lett., 2016

GTM Mixture through time for sequential data.

Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani

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

Kernel alignment for unsupervised transfer learning.

Ievgen Redko, Younès Bennani

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images.

Jérémie Sublime, Antoine Cornuéjols, Younès Bennani

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Towards Ontology Reasoning for Topological Cluster Labeling.

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellites.

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

On the Use of Ontology as A Priori Knowledge into Constrained Clustering.

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

From horizontal to vertical collaborative clustering using generative topographic maps.

Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols

Int. J. Hybrid Intell. Syst., 2015

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

Mustapha Lebbah, Rakia Jaziri, Younès Bennani, Jean-Hugues Chenot

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

Collaborative Fuzzy Clustering of Variational Bayesian Generative Topographic Mapping.

Mohamad Ghassany, Younès Bennani

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

Collaborative Clustering: How to Select the Optimal Collaborators?

Parisa Rastin, Guénaël Cabanes, Nistor Grozavu, Younès Bennani

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Vertical collaborative clustering using generative topographic maps.

Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Semantic rich ICM algorithm for VHR satellite images segmentation.

Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Collaborative clustering with heterogeneous algorithms.

Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

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

Sparsity analysis of learned factors in Multilayer NMF.

Ievgen Redko, Younès Bennani

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

A Recommendation System Based on Unsupervised Topological Learning.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

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

Pruned Simple Model Sets for Fast Exact Recovery of Image.

Basarab Matei, Younès Bennani

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution.

Jérémie Sublime, Younès Bennani, Antoine Cornuéjols

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

2014

Random subspaces NMF for unsupervised transfer learning.

Ievgen Redko, Younès Bennani

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Controlling orthogonality constraints for better NMF clustering.

Ievgen Redko, Younès Bennani

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Diversity analysis in collaborative clustering.

Nistor Grozavu, Guénaël Cabanes, Younès Bennani

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A New Energy Model for the Hidden Markov Random Fields.

Jérémie Sublime, Antoine Cornuéjols, Younès Bennani

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

Non-negative Matrix Factorization with Schatten p-norms Reguralization.

Ievgen Redko, Younès Bennani

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

2013

A new topological clustering algorithm for interval data.

Guénaël Cabanes, Younès Bennani, Renaud Destenay, André Hardy

Pattern Recognit., 2013

Collaborative multi-view clustering.

Mohamad Ghassany, Nistor Grozavu, Younès Bennani

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

Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud.

Guénaël Cabanes, Younès Bennani, Nistor Grozavu

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Enriched topological learning for cluster detection and visualization.

Guénaël Cabanes, Younès Bennani, Dominique Fresneau

Neural Networks, 2012

Collaborative Clustering using Prototype-Based Techniques.

Mohamad Ghassany, Nistor Grozavu, Younès Bennani

Int. J. Comput. Intell. Appl., 2012

Feature space transformation for transfer learning.

Nistor Grozavu, Younès Bennani, Lazhar Labiod

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

Change detection in data streams through unsupervised learning.

Guénaël Cabanes, Younès Bennani

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

Collaborative Generative Topographic Mapping.

Mohamad Ghassany, Nistor Grozavu, Younès Bennani

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

Classification des données catégorielles via la maximisation spectrale de la modularité.

Lazhar Labiod, Younès Bennani

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

Classification probabiliste non supervisée et visualisation des données séquentielles.

Rakia Jaziri, Mustapha Lebbah, Younès Bennani

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

Apprentissage d'ensemble d'opérateurs de projection orthogonale pour la détection de nouveauté.

Fatma Hamdi, Younès Bennani

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

Transformation de l'espace de description pour l'apprentissage par transfert.

Nistor Grozavu, Younès Bennani, Lazhar Labiod

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

2011

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

Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani

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

Classification relationnelle topographique.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Rev. d'Intelligence Artif., 2011

Probabilistic Self-Organizing Maps for multivariate sequences.

Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani

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

Learning random subspace novelty detection filters.

Fatma Hamdi, Younès Bennani

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

Learning confidence exchange in Collaborative Clustering.

Nistor Grozavu, Mohamad Ghassany, Younès Bennani

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

Coupling clustering and visualization for knowledge discovery from data.

Guénaël Cabanes, Younès Bennani

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

Simultaneous Pattern and Variable Weighting during Topological Clustering.

Nistor Grozavu, Younès Bennani

Proceedings of the Neural Information Processing - 18th International Conference, 2011

A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining.

Guénaël Cabanes, Younès Bennani, Dominique Fresneau

Proceedings of the Neural Information Processing - 18th International Conference, 2011

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

Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot

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

Interprétation spectrale de la classification relationnelle.

Lazhar Labiod, Younès Bennani

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

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

Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot

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

Visualisation de l'intra et inter structure des groupes en classification non supervisée.

Guénaël Cabanes, Younès Bennani

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

Apprendre les contraintes topologiques dans les cartes auto-organisatrices.

Guénaël Cabanes, Younès Bennani

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

A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity.

Lazhar Labiod, Younès Bennani

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Relational Topological Map.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Int. J. Comput. Intell. Appl., 2010

Mining RFID Behavior Data using Unsupervised Learning.

Guénaël Cabanes, Younès Bennani, Dominique Fresneau

Int. J. Appl. Logist., 2010

Topological Collaborative Clustering.

Nistor Grozavu, Younès Bennani

Aust. J. Intell. Inf. Process. Syst., 2010

Unsupervised Topographic Learning for Spatiotemporal Data Mining.

Guénaël Cabanes, Younès Bennani

Adv. Artif. Intell., 2010

Relational topological clustering.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2010

Topographic under-sampling for unbalanced distributions.

Fatma Hamdi, Mustapha Lebbah, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2010

Clustering Categorical Data Using an Extended Modularity Measure.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Proceedings of the Neural Information Processing. Models and Applications, 2010

Learning Topological Constraints in Self-Organizing Map.

Guénaël Cabanes, Younès Bennani

Proceedings of the Neural Information Processing. Models and Applications, 2010

Autonomous Clustering Characterization for Categorical Data.

Nistor Grozavu, Lazhar Labiod, Younès Bennani

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

Sous-échantillonnage topographique par apprentissage semi-supervisé.

Mustapha Lebbah, Younès Bennani

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

Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé.

Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël

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

Formulation Condorcéenne du critère de la modularité.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2009

Semi-structured document categorization with a semantic kernel.

Sujeevan Aseervatham, Younès Bennani

Pattern Recognit., 2009

From variable weighting to cluster characterization in topographic unsupervised learning.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the International Joint Conference on Neural Networks, 2009

Comparing Large Datasets Structures through Unsupervised Learning.

Guénaël Cabanes, Younès Bennani

Proceedings of the Neural Information Processing, 16th International Conference, 2009

A New Competitive Strategy for Self Organizing Map Learning.

Nistor Grozavu, Younès Bennani

Proceedings of the International Conference on Machine Learning and Applications, 2009

Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning.

Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël

Proceedings of the International Conference on Machine Learning and Applications, 2009

Caractérisation automatique des classes découvertes en classification non supervisée.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

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

Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé.

Guénaël Cabanes, Younès Bennani, Dominique Fresneau

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

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

2008

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

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi

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

Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining.

Guénaël Cabanes, Younès Bennani, Claire Chartagnat, Dominique Fresneau

Proceedings of the RFID Technology - Concepts, Applications, Challenges, Proceedings of the 2nd International Workshop on RFID Technology, 2008

A local density-based simultaneous two-level algorithm for topographic clustering.

Guénaël Cabanes, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2008

Probabilistic Mixed Topological Map for Categorical and Continuous Data.

Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani

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

Relational Analysis for Consensus Clustering from Multiple Partitions.

Mustapha Lebbah, Younès Bennani, Hamid Benhadda

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

Pondération locale des variables en apprentissage numérique non-supervisé.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

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

Un algorithme de classification topographique non supervisée à deux niveaux simultanés.

Guénaël Cabanes, Younès Bennani

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

2007

The structure of verbal sequences analyzed with unsupervised learning techniques

Catherine Recanati, Nicoleta Rogovschi, Younès Bennani

CoRR, 2007

Predictive connectionist approach for VoD bandwidth management.

Danielo Goncalves Gomes, Nazim Agoulmine, Younès Bennani, José Neuman de Souza

Comput. Commun., 2007

Hybrid Unsupervised Learning to Uncover Discourse Structure.

Catherine Recanati, Nicoleta Rogovschi, Younès Bennani

Proceedings of the Human Language Technology. Challenges of the Information Society, 2007

BeSOM : Bernoulli on Self-Organizing Map.

Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2007

A simultaneous two-level clustering algorithm for automatic model selection.

Guénaël Cabanes, Younès Bennani

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

A Semantic Kernel for Semi-structured DocumentS.

Sujeevan Aseervatham, Emmanuel Viennet, Younès Bennani

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Dendogram-based SVM for Multi-Class Classification.

Khalid Benabdeslem, Younès Bennani

J. Comput. Inf. Technol., 2006

Artificial Intelligence Techniques in the Dynamic Negotiation of QoS: A User Interface for the Internet New Generation.

Zeina Jrad, Francine Krief, Lahcène Dehni, Younès Bennani

Proceedings of the Autonomic Networking, First International IFIP TC6 Conference, 2006

Selection of clusters number and features subset during a two-levels clustering task.

Sébastien Guérif, Younès Bennani

Proceedings of the Artificial Intelligence and Soft Computing, 2006

Réduction des dimensions des données en apprentissage artificiel.

Emmanuel Viennet, Sébastien Guérif, Younès Bennani

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006

2005

New Self-organizing Maps for Multivariate Sequences Processing.

Farida Zehraoui, Younès Bennani

Int. J. Comput. Intell. Appl., 2005

Power Control and Clustering in Wireless Sensor Networks.

Lahcène Dehni, Francine Krief, Younès Bennani

Proceedings of the Challenges in Ad Hoc Networking, 2005

LEA2C: Low Energy Adaptive Connectionist Clustering for Wireless Sensor Networks.

Lahcène Dehni, Younès Bennani, Francine Krief

Proceedings of the Mobility Aware Technologies and Applications, 2005

2004

M-SOM-ART: Growing Self Organizing Map for Sequences Clustering and Classification.

Farida Zehraoui, Younès Bennani

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2002

Visualization and Analysis of Web Navigation Data.

Khalid Benabdeslem, Younès Bennani, Eric Janvier

Proceedings of the Artificial Neural Networks, 2002

2001

Une mesure de pertinence pour la sélection de variables dans les perceptrons multicouches.

Méziane Yacoub, Younès Bennani

Rev. d'Intelligence Artif., 2001

Modular Connectionist Modelling and Classification Approaches for Local Diagnosis in Telecommunication Traffic Management.

Younès Bennani, Fabrice Bossaert

Int. J. Comput. Intell. Appl., 2001

Connectionist Approach for Website Visitors Behaviors Mining.

Khalid Benabdeslem, Younès Bennani, Eric Janvier

Proceedings of the 2001 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2001), 2001

2000

Features Selection and Architecture Optimization in Connectionist Systems.

Méziane Yacoub, Younès Bennani

Int. J. Neural Syst., 2000

Detection et Selection d'Informations Pertinentes : application a la reconnaissance de visages.

Méziane Yacoub, Younès Bennani

Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

Reliability Control in Committee Classifier Environment.

Vladimir Radevski, Younès Bennani

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Discriminative feature extraction and selection applied to face recognition.

Méziane Yacoub, Younès Bennani

Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive weighting of pattern features during learning.

Younès Bennani

Proceedings of the International Joint Conference Neural Networks, 1999

1998

A Hybrid System for Symbolic-Connectionist Interaction.

Tayeb Nedjari, Younès Bennani

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

1997

Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic Management.

Younès Bennani, Fabrice Bossaert, Elisabeth Didelet

Proceedings of the Artificial Neural Networks, 1997

1995

Neural networks for discrimination and modelization of speakers.

Younès Bennani, Patrick Gallinari

Speech Commun., 1995

A modular and hybrid connectionist system for speaker identification.

Younès Bennani

Neural Comput., 1995

1994

Multi-Expert and Hybrid Connectionist Approach for Pattern Recognition: Speaker Identification Task.

Younès Bennani

Int. J. Neural Syst., 1994

1993

Probabilistic cooperation of connectionist expect modules: validation on a speaker identification task.

Younès Bennani

Proceedings of the IEEE International Conference on Acoustics, 1993

1992

Speaker identification through a modular connectionist architecture: evaluation on the timit database.

Younès Bennani

Proceedings of the Second International Conference on Spoken Language Processing, 1992

1991

On the use of TDNN-extracted features information in talker identification.

Younès Bennani, Patrick Gallinari

Proceedings of the 1991 International Conference on Acoustics, 1991

Validation of neural net architectures on speech recognition tasks.

Younès Bennani, Nasser Chaourar, Patrick Gallinari, Abdelhamid Mellouk

Proceedings of the 1991 International Conference on Acoustics, 1991

1990

Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT).

Khalid Choukri, S. Soudoplatoff, A. Wallyn, Frédéric Bimbot, H. Valbret, Patrick Gallinari, Younès Bennani, A. Varga, Manfred Immendörfer, T. Michaux

Neurocomputing, 1990

A connectionist approach for automatic speaker identification.

Younès Bennani, Françoise Fogelman-Soulié, Patrick Gallinari

Proceedings of the 1990 International Conference on Acoustics, 1990