A connectionist approach for automatic speaker identification. - Younès Bennani; Françoise Fogelman-Soulié; Patrick Gallinari (ICASSP, 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)

Validation of neural net architectures on speech recognition tasks. - Younès Bennani; Nasser Chaourar; Patrick Gallinari; Abdelhamid Mellouk (ICASSP, 1991)

On the use of TDNN-extracted features information in talker identification. - Younès Bennani; Patrick Gallinari (ICASSP, 1991)

Speaker identification through a modular connectionist architecture: evaluation on the timit database. - Younès Bennani (ICSLP, 1992)

Probabilistic cooperation of connectionist expect modules: validation on a speaker identification task. - Younès Bennani (ICASSP (1), 1993)

Multi-Expert and Hybrid Connectionist Approach for Pattern Recognition: Speaker Identification Task. - Younès Bennani (Int. J. Neural Syst., 1994)

A modular and hybrid connectionist system for speaker identification. - Younès Bennani (Neural Comput., 1995)

Neural networks for discrimination and modelization of speakers. - Younès Bennani; Patrick Gallinari (Speech Commun., 1995)

Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic Management. - Younès Bennani; Fabrice Bossaert; Elisabeth Didelet (ICANN, 1997)

A Hybrid System for Symbolic-Connectionist Interaction. - Tayeb Nedjari; Younès Bennani (NC, 1998)

Adaptive weighting of pattern features during learning. - Younès Bennani (IJCNN, 1999)

Discriminative feature extraction and selection applied to face recognition. - Méziane Yacoub; Younès Bennani (IJCNN, 1999)

Reliability Control in Committee Classifier Environment. - Vladimir Radevski; Younès Bennani (IJCNN (3), 2000)

Detection et Selection d'Informations Pertinentes : application a la reconnaissance de visages. - Méziane Yacoub; Younès Bennani (RIAO, 2000)

Features Selection and Architecture Optimization in Connectionist Systems. - Méziane Yacoub; Younès Bennani (Int. J. Neural Syst., 2000)

Connectionist Approach for Website Visitors Behaviors Mining. - Khalid Benabdeslem; Younès Bennani; Eric Janvier (AICCSA, 2001)

Modular Connectionist Modelling and Classification Approaches for Local Diagnosis in Telecommunication Traffic Management. - Younès Bennani; Fabrice Bossaert (Int. J. Comput. Intell. Appl., 2001)

Une mesure de pertinence pour la sélection de variables dans les perceptrons multicouches. - Méziane Yacoub; Younès Bennani (Rev. d'Intelligence Artif., 2001)

Visualization and Analysis of Web Navigation Data. - Khalid Benabdeslem; Younès Bennani; Eric Janvier (ICANN, 2002)

M-SOM-ART: Growing Self Organizing Map for Sequences Clustering and Classification. - Farida Zehraoui; Younès Bennani (ECAI, 2004)

M-SOM: matricial self organizing map for sequence clustering and classification. - Farida Zehraoui; Younès Bennani (IJCNN, 2004)

LEA2C: Low Energy Adaptive Connectionist Clustering for Wireless Sensor Networks. - Lahcène Dehni; Younès Bennani; Francine Krief (MATA, 2005)

Power Control and Clustering in Wireless Sensor Networks. - Lahcène Dehni; Francine Krief; Younès Bennani (Med-Hoc-Net, 2005)

New Self-organizing Maps for Multivariate Sequences Processing. - Farida Zehraoui; Younès Bennani (Int. J. Comput. Intell. Appl., 2005)

Réduction des dimensions des données en apprentissage artificiel. - Emmanuel Viennet; Sébastien Guérif; Younès Bennani (AAFD, 2006)

Selection of clusters number and features subset during a two-levels clustering task. - Sébastien Guérif; Younès Bennani (Artificial Intelligence and Soft Computing, 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 (Autonomic Networking, 2006)

Dendogram-based SVM for Multi-Class Classification. - Khalid Benabdeslem; Younès Bennani (J. Comput. Inf. Technol., 2006)

A Semantic Kernel for Semi-structured DocumentS. - Sujeevan Aseervatham; Emmanuel Viennet; Younès Bennani (ICDM, 2007)

A simultaneous two-level clustering algorithm for automatic model selection. - Guénaël Cabanes; Younès Bennani (ICMLA, 2007)

BeSOM : Bernoulli on Self-Organizing Map. - Mustapha Lebbah; Nicoleta Rogovschi; Younès Bennani (IJCNN, 2007)

Hybrid Unsupervised Learning to Uncover Discourse Structure. - Catherine Recanati; Nicoleta Rogovschi; Younès Bennani (LTC, 2007)

Predictive connectionist approach for VoD bandwidth management. - Danielo Goncalves Gomes; Nazim Agoulmine; Younès Bennani; José Neuman de Souza (Comput. Commun., 2007)

The structure of verbal sequences analyzed with unsupervised learning techniques - Catherine Recanati; Nicoleta Rogovschi; Younès Bennani (CoRR, 2007)

Un algorithme de classification topographique non supervisée à deux niveaux simultanés. - Guénaël Cabanes; Younès Bennani (EGC, 2008)

Pondération locale des variables en apprentissage numérique non-supervisé. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (EGC, 2008)

Relational Analysis for Consensus Clustering from Multiple Partitions. - Mustapha Lebbah; Younès Bennani; Hamid Benhadda (ICMLA, 2008)

Probabilistic Mixed Topological Map for Categorical and Continuous Data. - Nicoleta Rogovschi; Mustapha Lebbah; Younès Bennani (ICMLA, 2008)

A local density-based simultaneous two-level algorithm for topographic clustering. - Guénaël Cabanes; Younès Bennani (IJCNN, 2008)

Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining. - Guénaël Cabanes; Younès Bennani; Claire Chartagnat; Dominique Fresneau (IWRT, 2008)

A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. - Mustapha Lebbah; Younès Bennani; Nicoleta Rogovschi (Int. J. Comput. Intell. Appl., 2008)

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (EGC (best of volume), 2009)

Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé. - Guénaël Cabanes; Younès Bennani; Dominique Fresneau (EGC, 2009)

Caractérisation automatique des classes découvertes en classification non supervisée. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (EGC, 2009)

Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning. - Guénaël Cabanes; Younès Bennani; Frédéric Dufau-Joël (ICMLA, 2009)

A New Competitive Strategy for Self Organizing Map Learning. - Nistor Grozavu; Younès Bennani (ICMLA, 2009)

Comparing Large Datasets Structures through Unsupervised Learning. - Guénaël Cabanes; Younès Bennani (ICONIP (1), 2009)

From variable weighting to cluster characterization in topographic unsupervised learning. - Nistor Grozavu; Younès Bennani; Mustapha Lebbah (IJCNN, 2009)

Semi-structured document categorization with a semantic kernel. - Sujeevan Aseervatham; Younès Bennani (Pattern Recognit., 2009)

Formulation Condorcéenne du critère de la modularité. - Lazhar Labiod; Nistor Grozavu; Younès Bennani (AAFD, 2010)

Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé. - Guénaël Cabanes; Younès Bennani; Frédéric Dufau-Joël (EGC, 2010)

Sous-échantillonnage topographique par apprentissage semi-supervisé. - Mustapha Lebbah; Younès Bennani (EGC, 2010)

Autonomous Clustering Characterization for Categorical Data. - Nistor Grozavu; Lazhar Labiod; Younès Bennani (ICMLA, 2010)

Learning Topological Constraints in Self-Organizing Map. - Guénaël Cabanes; Younès Bennani (ICONIP (2), 2010)

Clustering Categorical Data Using an Extended Modularity Measure. - Lazhar Labiod; Nistor Grozavu; Younès Bennani (ICONIP (2), 2010)

Topographic under-sampling for unbalanced distributions. - Fatma Hamdi; Mustapha Lebbah; Younès Bennani (IJCNN, 2010)

Relational topological clustering. - Lazhar Labiod; Nistor Grozavu; Younès Bennani (IJCNN, 2010)

Unsupervised Topographic Learning for Spatiotemporal Data Mining. - Guénaël Cabanes; Younès Bennani (Adv. Artif. Intell., 2010)

Topological Collaborative Clustering. - Nistor Grozavu; Younès Bennani (Aust. J. Intell. Inf. Process. Syst., 2010)

Mining RFID Behavior Data using Unsupervised Learning. - Guénaël Cabanes; Younès Bennani; Dominique Fresneau (Int. J. Appl. Logist., 2010)

Relational Topological Map. - Lazhar Labiod; Nistor Grozavu; Younès Bennani (Int. J. Comput. Intell. Appl., 2010)

A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity. - Lazhar Labiod; Younès Bennani (ESANN, 2011)

Apprendre les contraintes topologiques dans les cartes auto-organisatrices. - Guénaël Cabanes; Younès Bennani (EGC, 2011)

Visualisation de l'intra et inter structure des groupes en classification non supervisée. - Guénaël Cabanes; Younès Bennani (EGC, 2011)

Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot (EGC, 2011)

Interprétation spectrale de la classification relationnelle. - Lazhar Labiod; Younès Bennani (EGC, 2011)

SOS-HMM: Self-Organizing Structure of Hidden Markov Model. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani; Jean-Hugues Chenot (ICANN (2), 2011)

A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining. - Guénaël Cabanes; Younès Bennani; Dominique Fresneau (ICONIP (2), 2011)

Simultaneous Pattern and Variable Weighting during Topological Clustering. - Nistor Grozavu; Younès Bennani (ICONIP (1), 2011)

Coupling clustering and visualization for knowledge discovery from data. - Guénaël Cabanes; Younès Bennani (IJCNN, 2011)

Learning confidence exchange in Collaborative Clustering. - Nistor Grozavu; Mohamad Ghassany; Younès Bennani (IJCNN, 2011)

Learning random subspace novelty detection filters. - Fatma Hamdi; Younès Bennani (IJCNN, 2011)

Probabilistic Self-Organizing Maps for multivariate sequences. - Rakia Jaziri; Mustapha Lebbah; Nicoleta Rogovschi; Younès Bennani (IJCNN, 2011)

Simultaneous Topological Categorical Data Clustering and Cluster characterization. - Lazhar Labiod; Nistor Grozavu; Younès Bennani (Int. J. Comput., 2011)

A Self-Organizing Map for mixed continuous and Categorical Data. - Nicoleta Rogovschi; Mustapha Lebbah; Younès Bennani (Int. J. Comput., 2011)

Classification relationnelle topographique. - Lazhar Labiod; Nistor Grozavu; Younès Bennani (Rev. d'Intelligence Artif., 2011)

Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. - Nicoleta Rogovschi; Mustapha Lebbah; Younès Bennani (Fouille de données complexes, 2011)

Transformation de l'espace de description pour l'apprentissage par transfert. - Nistor Grozavu; Younès Bennani; Lazhar Labiod (EGC, 2012)

Apprentissage d'ensemble d'opérateurs de projection orthogonale pour la détection de nouveauté. - Fatma Hamdi; Younès Bennani (EGC, 2012)

Classification probabiliste non supervisée et visualisation des données séquentielles. - Rakia Jaziri; Mustapha Lebbah; Younès Bennani (EGC, 2012)

Classification des données catégorielles via la maximisation spectrale de la modularité. - Lazhar Labiod; Younès Bennani (EGC, 2012)

Collaborative Generative Topographic Mapping. - Mohamad Ghassany; Nistor Grozavu; Younès Bennani (ICONIP (2), 2012)

Change detection in data streams through unsupervised learning. - Guénaël Cabanes; Younès Bennani (IJCNN, 2012)

Feature space transformation for transfer learning. - Nistor Grozavu; Younès Bennani; Lazhar Labiod (IJCNN, 2012)

Collaborative Clustering using Prototype-Based Techniques. - Mohamad Ghassany; Nistor Grozavu; Younès Bennani (Int. J. Comput. Intell. Appl., 2012)

Enriched topological learning for cluster detection and visualization. - Guénaël Cabanes; Younès Bennani; Dominique Fresneau (Neural Networks, 2012)

Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud. - Guénaël Cabanes; Younès Bennani; Nistor Grozavu (ICDM Workshops, 2013)

Collaborative multi-view clustering. - Mohamad Ghassany; Nistor Grozavu; Younès Bennani (IJCNN, 2013)

A new topological clustering algorithm for interval data. - Guénaël Cabanes; Younès Bennani; Renaud Destenay; André Hardy (Pattern Recognit., 2013)

Non-negative Matrix Factorization with Schatten p-norms Reguralization. - Ievgen Redko; Younès Bennani (ICONIP (2), 2014)

A New Energy Model for the Hidden Markov Random Fields. - Jérémie Sublime; Antoine Cornuéjols; Younès Bennani (ICONIP (2), 2014)

Diversity analysis in collaborative clustering. - Nistor Grozavu; Guénaël Cabanes; Younès Bennani (IJCNN, 2014)

Controlling orthogonality constraints for better NMF clustering. - Ievgen Redko; Younès Bennani (IJCNN, 2014)

Random subspaces NMF for unsupervised transfer learning. - Ievgen Redko; Younès Bennani (IJCNN, 2014)

Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution. - Jérémie Sublime; Younès Bennani; Antoine Cornuéjols (EGC, 2015)

Pruned Simple Model Sets for Fast Exact Recovery of Image. - Basarab Matei; Younès Bennani (ICDM Workshops, 2015)

A Recommendation System Based on Unsupervised Topological Learning. - Issam Falih; Nistor Grozavu; Rushed Kanawati; Younès Bennani (ICONIP (2), 2015)

Sparsity analysis of learned factors in Multilayer NMF. - Ievgen Redko; Younès Bennani (IJCNN, 2015)

Collaborative clustering with heterogeneous algorithms. - Jérémie Sublime; Nistor Grozavu; Younès Bennani; Antoine Cornuéjols (IJCNN, 2015)

Semantic rich ICM algorithm for VHR satellite images segmentation. - Jérémie Sublime; Andres Troya-Galvis; Younès Bennani; Antoine Cornuéjols; Pierre Gançarski (MVA, 2015)

Vertical collaborative clustering using generative topographic maps. - Jérémie Sublime; Nistor Grozavu; Younès Bennani; Antoine Cornuéjols (SoCPaR, 2015)

Collaborative Clustering: How to Select the Optimal Collaborators? - Parisa Rastin; Guénaël Cabanes; Nistor Grozavu; Younès Bennani (SSCI, 2015)

Collaborative Fuzzy Clustering of Variational Bayesian Generative Topographic Mapping. - Mohamad Ghassany; Younès Bennani (Int. J. Comput. Intell. Appl., 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)

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)

On the Use of Ontology as A Priori Knowledge into Constrained Clustering. - Hatim Chahdi; Nistor Grozavu; Isabelle Mougenot; Laure Berti-Équille; Younès Bennani (DSAA, 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 (EGC, 2016)

Towards Ontology Reasoning for Topological Cluster Labeling. - Hatim Chahdi; Nistor Grozavu; Isabelle Mougenot; Younès Bennani; Laure Berti-Équille (ICONIP (3), 2016)

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. - Jérémie Sublime; Antoine Cornuéjols; Younès Bennani (ICONIP (3), 2016)

Kernel alignment for unsupervised transfer learning. - Ievgen Redko; Younès Bennani (ICPR, 2016)

GTM Mixture through time for sequential data. - Rakia Jaziri; Faicel Chamroukhi; Mustapha Lebbah; Younès Bennani (IJCNN, 2016)

Non-negative embedding for fully unsupervised domain adaptation. - Ievgen Redko; Younès Bennani (Pattern Recognit. Lett., 2016)

ANCA : Attributed Network Clustering Algorithm. - Issam Falih; Nistor Grozavu; Rushed Kanawati; Younès Bennani (COMPLEX NETWORKS, 2017)

Co-clustering through Optimal Transport. - Charlotte Laclau; Ievgen Redko; Basarab Matei; Younès Bennani; Vincent Brault (ICML, 2017)

Collaborative clustering between different topological partitions. - Antoine Lachaud; Nistor Grozavu; Basarab Matei; Younès Bennani (IJCNN, 2017)

Entropy based probabilistic collaborative clustering. - Jérémie Sublime; Basarab Matei; Guénaël Cabanes; Nistor Grozavu; Younès Bennani; Antoine Cornuéjols (Pattern Recognit., 2017)

A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering. - Sarah Zouinina; Nistor Grozavu; Younès Bennani; Abdelouahid Lyhyaoui; Nicoleta Rogovschi (ICANN (3), 2018)

Online Semi-supervised Growing Neural Gas for Multi-label Data Classification. - Samira Boulbazine; Guénaël Cabanes; Basarab Matei; Younès Bennani (IJCNN, 2018)

Learning Useful Representations Through Stacked Self-Organizing Maps. - Ibtissam Brahmi; Guénaël Cabanes; Younès Bennani; Basarab Matei (IJCNN, 2018)

Collaborative Multi-View Attributed Networks Mining. - Issam Falih; Nistor Grozavu; Rushed Kanawati; Younès Bennani; Basarab Matei (IJCNN, 2018)

Optimizing exchange confidence during collaborative clustering. - Jérémie Sublime; Denis Maurel; Nistor Grozavu; Basarab Matei; Younès Bennani (IJCNN, 2018)

Domain Name Recommendation based on Neural Network. - Kaoutar Benlamine; Nistor Grozavu; Younès Bennani; Nicoleta Rogovschi; Kamel Haddadou; Ahmed Amamou (INNS Conference on Big Data, 2018)

Topological multi-view clustering for collaborative filtering. - Issam Falih; Nistor Grozavu; Rushed Kanawati; Younès Bennani (INNS Conference on Big Data, 2018)

Efficient k-Anonymization through Constrained Collaborative Clustering. - Sarah Zouinina; Nistor Grozavu; Younès Bennani; Abdelouahid Lyhyaoui; Nicoleta Rogovschi (SSCI, 2018)

Community detection in Attributed Network. - Issam Falih; Nistor Grozavu; Rushed Kanawati; Younès Bennani (WWW (Companion Volume), 2018)

Collaborative clustering: Why, when, what and how. - Antoine Cornuéjols; Cédric Wemmert; Pierre Gançarski; Younès Bennani (Inf. Fusion, 2018)

Collaborative Non-negative Matrix Factorization. - Kaoutar Benlamine; Nistor Grozavu; Younès Bennani; Basarab Matei (ICANN (4), 2019)

Distance Estimation for Quantum Prototypes Based Clustering. - Kaoutar Benlamine; Younès Bennani; Ahmed Zaiou; Mohamed Hibti; Basarab Matei; Nistor Grozavu (ICONIP (3), 2019)

Generative Histogram-Based Model Using Unsupervised Learning. - Parisa Rastin; Guénaël Cabanes; Rosanna Verde; Younès Bennani; Thierry Couronne (ICONIP (3), 2019)

Automatic detection of the support points in relational clustering. - Parisa Rastin; Younès Bennani; Rosanna Verde (IJCNN, 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)

Deepness Analysis of Learned Factors in Multilayer NMF. - Ibtissam Brahmi; Guénaël Cabanes; Younès Bennani; Abdelfettah Touzani (Aust. J. Intell. Inf. Process. Syst., 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)

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)

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)

Collaborative Clustering Through Optimal Transport. - Fatima Ezzahraa Ben Bouazza; Younès Bennani; Guénaël Cabanes; Abdelfettah Touzani (ICANN (2), 2020)

A Two-Levels Data Anonymization Approach. - Sarah Zouinina; Younès Bennani; Nicoleta Rogovschi; Abdelouahid Lyhyaoui (AIAI (1), 2020)

Quantum Collaborative K-means. - Kaoutar Benlamine; Younès Bennani; Nistor Grozavu; Basarab Matei (IJCNN, 2020)

Quantum Semi Non-negative Matrix Factorization. - Kaoutar Benlamine; Younès Bennani; Basarab Matei; Nistor Grozavu (SoCPaR, 2020)

Subspace Guided Collaborative Clustering Based on Optimal Transport. - Fatima Ezzahraa Ben Bouazza; Younès Bennani; Abdelfettah Touzani; Guénaël Cabanes (SoCPaR, 2020)

Unsupervised Learning from Data and Learners. - Yohan Foucade; Younès Bennani (SoCPaR, 2020)

A survey on domain adaptation theory. - Ievgen Redko; Emilie Morvant; Amaury Habrard; Marc Sebban; Younès Bennani (CoRR, 2020)

Collaborative Random Forests Learning. - Yohan Foucade; Younès Bennani; Zakaria Aabbou (HPCC/DSS/SmartCity/DependSys, 2021)

Convex Non-negative Matrix Factorization Through Quantum Annealing. - Ahmed Zaiou; Basarab Matei; Younès Bennani; Mohamed Hibti (HPCC/DSS/SmartCity/DependSys, 2021)

Inductive Semi-supervised Learning Through Optimal Transport. - Mourad El Hamri; Younès Bennani; Issam Falih (ICONIP (5), 2021)

Incorporating Neighborhood Information During NMF Learning. - Michel Kaddouh; Guénaël Cabanes; Younès Bennani (ICONIP (5), 2021)

Label Propagation Through Optimal Transport. - Mourad El Hamri; Younès Bennani; Issam Falih (IJCNN, 2021)

Balanced K-means using Quantum annealing. - Ahmed Zaiou; Younès Bennani; Basarab Matei; Mohamed Hibti (SSCI, 2021)

Incremental Semi-Supervised Learning Through Optimal Transport. - Mourad El Hamri; Younès Bennani (CoRR, 2021)

Selective information exchange in collaborative clustering using regularized Optimal Transport. - Fatima Ezzahraa Ben Bouazza; Younès Bennani (CoRR, 2021)

Unsupervised collaborative learning using privileged information. - Yohan Foucade; Younès Bennani (CoRR, 2021)

On the use of Wasserstein metric in topological clustering of distributional data. - Guénaël Cabanes; Younès Bennani; Rosanna Verde; Antonio Irpino (CoRR, 2021)

Hierarchical Optimal Transport for Unsupervised Domain Adaptation. - Mourad El Hamri; Younès Bennani; Issam Falih; Hamid Ahaggach (CoRR, 2021)

Unsupervised collaborative learning based on Optimal Transport theory. - Fatima Ezzahraa Ben Bouazza; Younès Bennani; Guénaël Cabanes; Abdelfettah Touzani (J. Intell. Syst., 2021)

Data Anonymization through Collaborative Multi-view Microaggregation. - Sarah Zouinina; Younès Bennani; Nicoleta Rogovschi; Abdelouahid Lyhyaoui (J. Intell. Syst., 2021)

A quantum learning approach based on Hidden Markov Models for failure scenarios generation. - Ahmed Zaiou; Younès Bennani; Basarab Matei; Mohamed Hibti (CACML, 2022)

When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport. - Mourad El Hamri; Younès Bennani; Issam Falih (AIAI (1), 2022)

Quantum Approach for Vertex Separator Problem in Directed Graphs. - Ahmed Zaiou; Younès Bennani; Mohamed Hibti; Basarab Matei (AIAI (1), 2022)

Incremental Unsupervised Domain Adaptation Through Optimal Transport. - Mourad El Hamri; Younès Bennani; Issam Falih (IJCNN, 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)

Hierarchical optimal transport for unsupervised domain adaptation. - Mourad El Hamri; Younès Bennani; Issam Falih (Mach. Learn., 2022)

On the Use of Persistent Homology to Control the Generalization Capacity of a Neural Network. - Abir Barbara; Younès Bennani; Joseph Karkazan (ICONIP (8), 2023)

Modular Self-Supervised Learning for Hand Surgical Diagnosis. - Léo Déchaumet; Younès Bennani; Joseph Karkazan; Abir Barbara; Charles Dacheux; Thomas Gregory (IJCNN, 2023)

Self-Training and Modular Approaches for Surgical Image Recognition. - Nosseiba Ben Salem; Younès Bennani; Joseph Karkazan; Abir Barbara; Charles Dacheux; Thomas Gregory (IJCNN, 2023)

Modular Neural Network Approaches for Surgical Image Recognition. - Nosseiba Ben Salem; Younès Bennani; Joseph Karkazan; Abir Barbara; Charles Dacheux; Thomas Gregory (CoRR, 2023)

FMDA-OT: Federated Multi-source Domain Adaptation Through Optimal Transport. - Omar Ghannou; Younès Bennani (CoRR, 2024)

Incremental Confidence Sampling with Optimal Transport for Domain Adaptation. - Mourad El Hamri; Younès Bennani; Issam Falih (Int. J. Neural Syst., 2024)

Theoretical guarantees for domain adaptation with hierarchical optimal transport. - Mourad El Hamri; Younès Bennani; Issam Falih (Mach. Learn., 2025)

Variance-Based Defense Against Blended Backdoor Attacks. - Sujeevan Aseervatham; Achraf Kerzazi; Younès Bennani (CoRR, 2025)