Younès Bennani

Orcid: 0000-0003-3667-3357

According to our database1, Younès Bennani authored at least 168 papers between 1990 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation.
Int. J. Neural Syst., September, 2024

FMDA-OT: Federated Multi-source Domain Adaptation Through Optimal Transport.
CoRR, 2024

2023
Modular Neural Network Approaches for Surgical Image Recognition.
CoRR, 2023

Self-Training and Modular Approaches for Surgical Image Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modular Self-Supervised Learning for Hand Surgical Diagnosis.
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.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Hierarchical optimal transport for unsupervised domain adaptation.
Mach. Learn., 2022

Collaborative Learning to Improve the Non-uniqueness of NMF.
Int. J. Comput. Intell. Appl., 2022

Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport.
CoRR, 2022

Incremental Unsupervised Domain Adaptation Through Optimal Transport.
Proceedings of the International Joint Conference on Neural Networks, 2022

Quantum Approach for Vertex Separator Problem in Directed Graphs.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

A quantum learning approach based on Hidden Markov Models for failure scenarios generation.
Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

2021
Data Anonymization through Collaborative Multi-view Microaggregation.
J. Intell. Syst., 2021

Unsupervised collaborative learning based on Optimal Transport theory.
J. Intell. Syst., 2021

Hierarchical Optimal Transport for Unsupervised Domain Adaptation.
CoRR, 2021

On the use of Wasserstein metric in topological clustering of distributional data.
CoRR, 2021

Unsupervised collaborative learning using privileged information.
CoRR, 2021

Selective information exchange in collaborative clustering using regularized Optimal Transport.
CoRR, 2021

Incremental Semi-Supervised Learning Through Optimal Transport.
CoRR, 2021

Balanced K-means using Quantum annealing.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Label Propagation Through Optimal Transport.
Proceedings of the International Joint Conference on Neural Networks, 2021

Incorporating Neighborhood Information During NMF Learning.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Inductive Semi-supervised Learning Through Optimal Transport.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Convex Non-negative Matrix Factorization Through Quantum Annealing.
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.
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.
CoRR, 2020

Unsupervised Learning from Data and Learners.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Subspace Guided Collaborative Clustering Based on Optimal Transport.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Quantum Semi Non-negative Matrix Factorization.
Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Quantum Collaborative K-means.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Two-Levels Data Anonymization Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Collaborative Clustering Through Optimal Transport.
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.
Pattern Recognit., 2019

Impact of Learners' Quality and Diversity in Collaborative Clustering.
J. Artif. Intell. Soft Comput. Res., 2019

Preserving Utility during Attribute-oriented Data Anonymization Process.
Aust. J. Intell. Inf. Process. Syst., 2019

Deepness Analysis of Learned Factors in Multilayer NMF.
Aust. J. Intell. Inf. Process. Syst., 2019

Multi-view Clustering through Optimal Transport.
Aust. J. Intell. Inf. Process. Syst., 2019

Automatic detection of the support points in relational clustering.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Histogram-Based Model Using Unsupervised Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Distance Estimation for Quantum Prototypes Based Clustering.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Collaborative Non-negative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
Collaborative clustering: Why, when, what and how.
Inf. Fusion, 2018

Community detection in Attributed Network.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Efficient k-Anonymization through Constrained Collaborative Clustering.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Topological multi-view clustering for collaborative filtering.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Domain Name Recommendation based on Neural Network.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Optimizing exchange confidence during collaborative clustering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Collaborative Multi-View Attributed Networks Mining.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Learning Useful Representations Through Stacked Self-Organizing Maps.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Online Semi-supervised Growing Neural Gas for Multi-label Data Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Entropy based probabilistic collaborative clustering.
Pattern Recognit., 2017

Collaborative clustering between different topological partitions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Co-clustering through Optimal Transport.
Proceedings of the 34th International Conference on Machine Learning, 2017

ANCA : Attributed Network Clustering Algorithm.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Non-negative embedding for fully unsupervised domain adaptation.
Pattern Recognit. Lett., 2016

GTM Mixture through time for sequential data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Kernel alignment for unsupervised transfer learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Towards Ontology Reasoning for Topological Cluster Labeling.
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.
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

On the Use of Ontology as A Priori Knowledge into Constrained Clustering.
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.
Int. J. Hybrid Intell. Syst., 2015

Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data.
Int. J. Comput. Intell. Appl., 2015

Collaborative Fuzzy Clustering of Variational Bayesian Generative Topographic Mapping.
Int. J. Comput. Intell. Appl., 2015

Collaborative Clustering: How to Select the Optimal Collaborators?
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Vertical collaborative clustering using generative topographic maps.
Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Semantic rich ICM algorithm for VHR satellite images segmentation.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Collaborative clustering with heterogeneous algorithms.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Sparsity analysis of learned factors in Multilayer NMF.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Recommendation System Based on Unsupervised Topological Learning.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Pruned Simple Model Sets for Fast Exact Recovery of Image.
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.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014
Random subspaces NMF for unsupervised transfer learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Controlling orthogonality constraints for better NMF clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Diversity analysis in collaborative clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A New Energy Model for the Hidden Markov Random Fields.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Non-negative Matrix Factorization with Schatten p-norms Reguralization.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
A new topological clustering algorithm for interval data.
Pattern Recognit., 2013

Collaborative multi-view clustering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Enriched topological learning for cluster detection and visualization.
Neural Networks, 2012

Collaborative Clustering using Prototype-Based Techniques.
Int. J. Comput. Intell. Appl., 2012

Feature space transformation for transfer learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Change detection in data streams through unsupervised learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Collaborative Generative Topographic Mapping.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Classification des données catégorielles via la maximisation spectrale de la modularité.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Classification probabiliste non supervisée et visualisation des données séquentielles.
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.
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.
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.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Classification relationnelle topographique.
Rev. d'Intelligence Artif., 2011

A Self-Organizing Map for mixed continuous and Categorical Data.
Int. J. Comput., 2011

Simultaneous Topological Categorical Data Clustering and Cluster characterization.
Int. J. Comput., 2011

Probabilistic Self-Organizing Maps for multivariate sequences.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Learning random subspace novelty detection filters.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Learning confidence exchange in Collaborative Clustering.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Coupling clustering and visualization for knowledge discovery from data.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Simultaneous Pattern and Variable Weighting during Topological Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

SOS-HMM: Self-Organizing Structure of Hidden Markov Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Interprétation spectrale de la classification relationnelle.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Visualisation de l'intra et inter structure des groupes en classification non supervisée.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Apprendre les contraintes topologiques dans les cartes auto-organisatrices.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Relational Topological Map.
Int. J. Comput. Intell. Appl., 2010

Mining RFID Behavior Data using Unsupervised Learning.
Int. J. Appl. Logist., 2010

Topological Collaborative Clustering.
Aust. J. Intell. Inf. Process. Syst., 2010

Unsupervised Topographic Learning for Spatiotemporal Data Mining.
Adv. Artif. Intell., 2010

Relational topological clustering.
Proceedings of the International Joint Conference on Neural Networks, 2010

Topographic under-sampling for unbalanced distributions.
Proceedings of the International Joint Conference on Neural Networks, 2010

Clustering Categorical Data Using an Extended Modularity Measure.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Learning Topological Constraints in Self-Organizing Map.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Autonomous Clustering Characterization for Categorical Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Sous-échantillonnage topographique par apprentissage semi-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Formulation Condorcéenne du critère de la modularité.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2009
Semi-structured document categorization with a semantic kernel.
Pattern Recognit., 2009

From variable weighting to cluster characterization in topographic unsupervised learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

Comparing Large Datasets Structures through Unsupervised Learning.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

A New Competitive Strategy for Self Organizing Map Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Caractérisation automatique des classes découvertes en classification non supervisée.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm.
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.
Int. J. Comput. Intell. Appl., 2008

Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining.
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.
Proceedings of the International Joint Conference on Neural Networks, 2008

Probabilistic Mixed Topological Map for Categorical and Continuous Data.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Relational Analysis for Consensus Clustering from Multiple Partitions.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Pondération locale des variables en apprentissage numérique non-supervisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

Un algorithme de classification topographique non supervisée à deux niveaux simultanés.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007
The structure of verbal sequences analyzed with unsupervised learning techniques
CoRR, 2007

Predictive connectionist approach for VoD bandwidth management.
Comput. Commun., 2007

Hybrid Unsupervised Learning to Uncover Discourse Structure.
Proceedings of the Human Language Technology. Challenges of the Information Society, 2007

BeSOM : Bernoulli on Self-Organizing Map.
Proceedings of the International Joint Conference on Neural Networks, 2007

A simultaneous two-level clustering algorithm for automatic model selection.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

A Semantic Kernel for Semi-structured DocumentS.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Dendogram-based SVM for Multi-Class Classification.
J. Comput. Inf. Technol., 2006

Artificial Intelligence Techniques in the Dynamic Negotiation of QoS: A User Interface for the Internet New Generation.
Proceedings of the Autonomic Networking, First International IFIP TC6 Conference, 2006

Selection of clusters number and features subset during a two-levels clustering task.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Réduction des dimensions des données en apprentissage artificiel.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006

2005
New Self-organizing Maps for Multivariate Sequences Processing.
Int. J. Comput. Intell. Appl., 2005

Power Control and Clustering in Wireless Sensor Networks.
Proceedings of the Challenges in Ad Hoc Networking, 2005

LEA2C: Low Energy Adaptive Connectionist Clustering for Wireless Sensor Networks.
Proceedings of the Mobility Aware Technologies and Applications, 2005

2004
M-SOM-ART: Growing Self Organizing Map for Sequences Clustering and Classification.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2002
Visualization and Analysis of Web Navigation Data.
Proceedings of the Artificial Neural Networks, 2002

2001
Une mesure de pertinence pour la sélection de variables dans les perceptrons multicouches.
Rev. d'Intelligence Artif., 2001

Modular Connectionist Modelling and Classification Approaches for Local Diagnosis in Telecommunication Traffic Management.
Int. J. Comput. Intell. Appl., 2001

Connectionist Approach for Website Visitors Behaviors Mining.
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.
Int. J. Neural Syst., 2000

Detection et Selection d'Informations Pertinentes : application a la reconnaissance de visages.
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications), 2000

Reliability Control in Committee Classifier Environment.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Discriminative feature extraction and selection applied to face recognition.
Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive weighting of pattern features during learning.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A Hybrid System for Symbolic-Connectionist Interaction.
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.
Proceedings of the Artificial Neural Networks, 1997

1995
Neural networks for discrimination and modelization of speakers.
Speech Commun., 1995

A modular and hybrid connectionist system for speaker identification.
Neural Comput., 1995

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

1993
Probabilistic cooperation of connectionist expect modules: validation on a speaker identification task.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Speaker identification through a modular connectionist architecture: evaluation on the timit database.
Proceedings of the Second International Conference on Spoken Language Processing, 1992

1991
On the use of TDNN-extracted features information in talker identification.
Proceedings of the 1991 International Conference on Acoustics, 1991

Validation of neural net architectures on speech recognition tasks.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT).
Neurocomputing, 1990

A connectionist approach for automatic speaker identification.
Proceedings of the 1990 International Conference on Acoustics, 1990


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