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2020 – today
- 2024
[j38]Mourad El Hamri
, Younès Bennani, Issam Falih:
Incremental Confidence Sampling with Optimal Transport for Domain Adaptation. Int. J. Neural Syst. 34(9): 2450044:1-2450044:16 (2024)- [i15]Omar Ghannou, Younès Bennani:
FMDA-OT: Federated Multi-source Domain Adaptation Through Optimal Transport. CoRR abs/2404.06599 (2024) - 2023
- [c119]Abir Barbara, Younès Bennani, Joseph Karkazan:
On the Use of Persistent Homology to Control the Generalization Capacity of a Neural Network. ICONIP (8) 2023: 274-286 - [c118]Léo Déchaumet, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory:
Modular Self-Supervised Learning for Hand Surgical Diagnosis. IJCNN 2023: 1-8 - [c117]Nosseiba Ben Salem, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory:
Self-Training and Modular Approaches for Surgical Image Recognition. IJCNN 2023: 1-8 - [i14]Nosseiba Ben Salem, Younès Bennani, Joseph Karkazan, Abir Barbara, Charles Dacheux, Thomas Gregory:
Modular Neural Network Approaches for Surgical Image Recognition. CoRR abs/2307.08880 (2023) - 2022
- [j37]Kaoutar Benlamine, Younès Bennani, Basarab Matei, Nistor Grozavu, Issam Falih:
Collaborative Learning to Improve the Non-uniqueness of NMF. Int. J. Comput. Intell. Appl. 21(1): 2250001:1-2250001:24 (2022) - [j36]Mourad El Hamri, Younès Bennani, Issam Falih:
Hierarchical optimal transport for unsupervised domain adaptation. Mach. Learn. 111(11): 4159-4182 (2022) - [c116]Ahmed Zaiou, Younès Bennani, Basarab Matei, Mohamed Hibti:
A quantum learning approach based on Hidden Markov Models for failure scenarios generation. CACML 2022: 62-67 - [c115]Mourad El Hamri, Younès Bennani, Issam Falih:
When Domain Adaptation Meets Semi-supervised Learning Through Optimal Transport. AIAI (1) 2022: 58-69 - [c114]Ahmed Zaiou, Younès Bennani, Mohamed Hibti, Basarab Matei:
Quantum Approach for Vertex Separator Problem in Directed Graphs. AIAI (1) 2022: 495-506 - [c113]Mourad El Hamri, Younès Bennani, Issam Falih:
Incremental Unsupervised Domain Adaptation Through Optimal Transport. IJCNN 2022: 1-8 - [i13]Ahmed Zaiou, Basarab Matei, Younès Bennani, Mohamed Hibti:
Convex Non-negative Matrix Factorization Through Quantum Annealing. CoRR abs/2203.15634 (2022) - [i12]Ahmed Zaiou, Younès Bennani, Basarab Matei, Mohamed Hibti:
A quantum learning approach based on Hidden Markov Models for failure scenarios generation. CoRR abs/2204.00087 (2022) - [i11]Mourad El Hamri, Younès Bennani, Issam Falih:
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport. CoRR abs/2210.13331 (2022) - 2021
- [j35]Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui:
Data Anonymization through Collaborative Multi-view Microaggregation. J. Intell. Syst. 30(1): 327-345 (2021) - [j34]Fatima Ezzahraa Ben Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani:
Unsupervised collaborative learning based on Optimal Transport theory. J. Intell. Syst. 30(1): 698-719 (2021) - [c112]Yohan Foucade, Younès Bennani, Zakaria Aabbou:
Collaborative Random Forests Learning. HPCC/DSS/SmartCity/DependSys 2021: 1147-1154 - [c111]Ahmed Zaiou, Basarab Matei, Younès Bennani, Mohamed Hibti:
Convex Non-negative Matrix Factorization Through Quantum Annealing. HPCC/DSS/SmartCity/DependSys 2021: 1253-1258 - [c110]Michel Kaddouh, Guénaël Cabanes, Younès Bennani:
Incorporating Neighborhood Information During NMF Learning. ICONIP (5) 2021: 591-598 - [c109]Mourad El Hamri, Younès Bennani, Issam Falih:
Inductive Semi-supervised Learning Through Optimal Transport. ICONIP (5) 2021: 668-675 - [c108]Mourad El Hamri, Younès Bennani, Issam Falih:
Label Propagation Through Optimal Transport. IJCNN 2021: 1-8 - [c107]Ahmed Zaiou, Younès Bennani, Basarab Matei, Mohamed Hibti:
Balanced K-means using Quantum annealing. SSCI 2021: 1-7 - [i10]Mourad El Hamri, Younès Bennani:
Incremental Semi-Supervised Learning Through Optimal Transport. CoRR abs/2103.11937 (2021) - [i9]Fatima Ezzahraa Ben Bouazza, Younès Bennani:
Selective information exchange in collaborative clustering using regularized Optimal Transport. CoRR abs/2103.12071 (2021) - [i8]Yohan Foucade, Younès Bennani:
Unsupervised collaborative learning using privileged information. CoRR abs/2103.13145 (2021) - [i7]Guénaël Cabanes, Younès Bennani, Rosanna Verde, Antonio Irpino:
On the use of Wasserstein metric in topological clustering of distributional data. CoRR abs/2109.04301 (2021) - [i6]Mourad El Hamri, Younès Bennani, Issam Falih:
Label Propagation Through Optimal Transport. CoRR abs/2110.01446 (2021) - [i5]Mourad El Hamri, Younès Bennani, Issam Falih, Hamid Ahaggach:
Hierarchical Optimal Transport for Unsupervised Domain Adaptation. CoRR abs/2112.02073 (2021) - [i4]Mourad El Hamri, Younès Bennani, Issam Falih:
Inductive Semi-supervised Learning Through Optimal Transport. CoRR abs/2112.07262 (2021) - 2020
- [c106]Fatima Ezzahraa Ben Bouazza, Younès Bennani, Guénaël Cabanes, Abdelfettah Touzani:
Collaborative Clustering Through Optimal Transport. ICANN (2) 2020: 873-885 - [c105]Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui:
A Two-Levels Data Anonymization Approach. AIAI (1) 2020: 85-95 - [c104]Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Matei:
Quantum Collaborative K-means. IJCNN 2020: 1-7 - [c103]Fatima Ezzahraa Ben Bouazza, Younès Bennani, Abdelfettah Touzani, Guénaël Cabanes:
Subspace Guided Collaborative Clustering Based on Optimal Transport. SoCPaR 2020: 113-124 - [c102]Kaoutar Benlamine, Younès Bennani, Basarab Matei, Nistor Grozavu:
Quantum Semi Non-negative Matrix Factorization. SoCPaR 2020: 135-144 - [c101]Yohan Foucade, Younès Bennani:
Unsupervised Learning from Data and Learners. SoCPaR 2020: 496-507 - [i3]Ievgen Redko, Emilie Morvant, Amaury Habrard, Marc Sebban, Younès Bennani:
A survey on domain adaptation theory. CoRR abs/2004.11829 (2020)
2010 – 2019
- 2019
- [j33]Fatima Ezzahraa Ben Bouazza, Younès Bennani, Mourad El Hamri, Guénaël Cabanes, Basarab Matei, Abdelfettah Touzani:
Multi-view Clustering through Optimal Transport. Aust. J. Intell. Inf. Process. Syst. 15(3): 1-9 (2019) - [j32]Sarah Zouinina, Younès Bennani, Maha Ben-Fares, Nicoleta Rogovschi, Abdelouahid Lyhyaoui:
Preserving Utility during Attribute-oriented Data Anonymization Process. Aust. J. Intell. Inf. Process. Syst. 16(3): 25-35 (2019) - [j31]Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Abdelfettah Touzani:
Deepness Analysis of Learned Factors in Multilayer NMF. Aust. J. Intell. Inf. Process. Syst. 16(4): 24-31 (2019) - [j30]Parisa Rastin, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani:
Impact of Learners' Quality and Diversity in Collaborative Clustering. J. Artif. Intell. Soft Comput. Res. 9(2): 149-165 (2019) - [j29]Parisa Rastin, Guénaël Cabanes, Basarab Matei, Younès Bennani, Jean-Marc Marty:
A new sparse representation learning of complex data: Application to dynamic clustering of web navigation. Pattern Recognit. 91: 291-307 (2019) - [c100]Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Basarab Matei:
Collaborative Non-negative Matrix Factorization. ICANN (4) 2019: 655-666 - [c99]Kaoutar Benlamine, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei, Nistor Grozavu:
Distance Estimation for Quantum Prototypes Based Clustering. ICONIP (3) 2019: 561-572 - [c98]Parisa Rastin, Guénaël Cabanes, Rosanna Verde, Younès Bennani, Thierry Couronne:
Generative Histogram-Based Model Using Unsupervised Learning. ICONIP (3) 2019: 634-646 - [c97]Parisa Rastin, Younès Bennani, Rosanna Verde:
Automatic detection of the support points in relational clustering. IJCNN 2019: 1-8 - 2018
- [j28]Antoine Cornuéjols, Cédric Wemmert, Pierre Gançarski, Younès Bennani:
Collaborative clustering: Why, when, what and how. Inf. Fusion 39: 81-95 (2018) - [c96]Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi:
A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering. ICANN (3) 2018: 817-827 - [c95]Samira Boulbazine, Guénaël Cabanes, Basarab Matei, Younès Bennani:
Online Semi-supervised Growing Neural Gas for Multi-label Data Classification. IJCNN 2018: 1-8 - [c94]Ibtissam Brahmi, Guénaël Cabanes, Younès Bennani, Basarab Matei:
Learning Useful Representations Through Stacked Self-Organizing Maps. IJCNN 2018: 1-8 - [c93]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani, Basarab Matei:
Collaborative Multi-View Attributed Networks Mining. IJCNN 2018: 1-8 - [c92]Jérémie Sublime, Denis Maurel, Nistor Grozavu, Basarab Matei, Younès Bennani:
Optimizing exchange confidence during collaborative clustering. IJCNN 2018: 1-8 - [c91]Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Nicoleta Rogovschi, Kamel Haddadou, Ahmed Amamou:
Domain Name Recommendation based on Neural Network. INNS Conference on Big Data 2018: 60-70 - [c90]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
Topological multi-view clustering for collaborative filtering. INNS Conference on Big Data 2018: 306-312 - [c89]Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi:
Efficient k-Anonymization through Constrained Collaborative Clustering. SSCI 2018: 405-411 - [c88]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
Community detection in Attributed Network. WWW (Companion Volume) 2018: 1299-1306 - 2017
- [j27]Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Entropy based probabilistic collaborative clustering. Pattern Recognit. 72: 144-157 (2017) - [c87]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
ANCA : Attributed Network Clustering Algorithm. COMPLEX NETWORKS 2017: 241-252 - [c86]Charlotte Laclau, Ievgen Redko, Basarab Matei, Younès Bennani, Vincent Brault:
Co-clustering through Optimal Transport. ICML 2017: 1955-1964 - [c85]Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani:
Collaborative clustering between different topological partitions. IJCNN 2017: 4111-4117 - 2016
- [j26]Ievgen Redko, Younès Bennani:
Non-negative embedding for fully unsupervised domain adaptation. Pattern Recognit. Lett. 77: 35-41 (2016) - [c84]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani:
On the Use of Ontology as A Priori Knowledge into Constrained Clustering. DSAA 2016: 632-641 - [c83]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani:
Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellites. EGC 2016: 81-92 - [c82]Jérémie Sublime, Antoine Cornuéjols, Younès Bennani:
Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. ICONIP (3) 2016: 148-155 - [c81]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille:
Towards Ontology Reasoning for Topological Cluster Labeling. ICONIP (3) 2016: 156-164 - [c80]Ievgen Redko, Younès Bennani:
Kernel alignment for unsupervised transfer learning. ICPR 2016: 525-530 - [c79]Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, Younès Bennani:
GTM Mixture through time for sequential data. IJCNN 2016: 2805-2810 - [i2]Ievgen Redko, Younès Bennani:
Kernel Alignment for Unsupervised Transfer Learning. CoRR abs/1610.06434 (2016) - 2015
- [j25]Mohamad Ghassany, Younès Bennani:
Collaborative Fuzzy Clustering of Variational Bayesian Generative Topographic Mapping. Int. J. Comput. Intell. Appl. 14(1): 1550001:1-1550001:16 (2015) - [j24]Mustapha Lebbah, Rakia Jaziri, Younès Bennani, Jean-Hugues Chenot:
Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data. Int. J. Comput. Intell. Appl. 14(2): 1550007:1-1550007:29 (2015) - [j23]Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols:
From horizontal to vertical collaborative clustering using generative topographic maps. Int. J. Hybrid Intell. Syst. 12(4): 245-256 (2015) - [c78]Jérémie Sublime, Younès Bennani, Antoine Cornuéjols:
Un algorithme ICM basé sur la compacité pour la segmentation des images satellites à très haute résolution. EGC 2015: 191-196 - [c77]Basarab Matei, Younès Bennani:
Pruned Simple Model Sets for Fast Exact Recovery of Image. ICDM Workshops 2015: 863-870 - [c76]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
A Recommendation System Based on Unsupervised Topological Learning. ICONIP (2) 2015: 224-232 - [c75]Ievgen Redko, Younès Bennani:
Sparsity analysis of learned factors in Multilayer NMF. IJCNN 2015: 1-7 - [c74]Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Collaborative clustering with heterogeneous algorithms. IJCNN 2015: 1-8 - [c73]Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski:
Semantic rich ICM algorithm for VHR satellite images segmentation. MVA 2015: 45-48 - [c72]Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Vertical collaborative clustering using generative topographic maps. SoCPaR 2015: 199-204 - [c71]Parisa Rastin, Guénaël Cabanes, Nistor Grozavu, Younès Bennani:
Collaborative Clustering: How to Select the Optimal Collaborators? SSCI 2015: 787-794 - 2014
- [c70]Ievgen Redko, Younès Bennani:
Non-negative Matrix Factorization with Schatten p-norms Reguralization. ICONIP (2) 2014: 52-59 - [c69]Jérémie Sublime, Antoine Cornuéjols, Younès Bennani:
A New Energy Model for the Hidden Markov Random Fields. ICONIP (2) 2014: 60-67 - [c68]Nistor Grozavu, Guénaël Cabanes, Younès Bennani:
Diversity analysis in collaborative clustering. IJCNN 2014: 1754-1761 - [c67]Ievgen Redko, Younès Bennani:
Controlling orthogonality constraints for better NMF clustering. IJCNN 2014: 3894-3900 - [c66]Ievgen Redko, Younès Bennani:
Random subspaces NMF for unsupervised transfer learning. IJCNN 2014: 3901-3908 - [e4]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2012, Université Paris 13, Institut Galilée, Villetaneuse, France, 28-29 juin 2012. RNTI A-6, Hermann-Éditions 2014, ISBN 9782705688387 [contents] - 2013
- [j22]Guénaël Cabanes, Younès Bennani, Renaud Destenay, André Hardy:
A new topological clustering algorithm for interval data. Pattern Recognit. 46(11): 3030-3039 (2013) - [c65]Guénaël Cabanes, Younès Bennani, Nistor Grozavu:
Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud. ICDM Workshops 2013: 513-520 - [c64]Mohamad Ghassany, Nistor Grozavu, Younès Bennani:
Collaborative multi-view clustering. IJCNN 2013: 1-8 - 2012
- [j21]Mohamad Ghassany, Nistor Grozavu, Younès Bennani:
Collaborative Clustering using Prototype-Based Techniques. Int. J. Comput. Intell. Appl. 11(3) (2012) - [j20]Guénaël Cabanes, Younès Bennani, Dominique Fresneau:
Enriched topological learning for cluster detection and visualization. Neural Networks 32: 186-195 (2012) - [c63]Nistor Grozavu, Younès Bennani, Lazhar Labiod:
Transformation de l'espace de description pour l'apprentissage par transfert. EGC 2012: 35-40 - [c62]Fatma Hamdi, Younès Bennani:
Apprentissage d'ensemble d'opérateurs de projection orthogonale pour la détection de nouveauté. EGC 2012: 41-52 - [c61]Rakia Jaziri, Mustapha Lebbah, Younès Bennani:
Classification probabiliste non supervisée et visualisation des données séquentielles. EGC 2012: 137-148 - [c60]Lazhar Labiod, Younès Bennani:
Classification des données catégorielles via la maximisation spectrale de la modularité. EGC 2012: 149-154 - [c59]Mohamad Ghassany, Nistor Grozavu, Younès Bennani:
Collaborative Generative Topographic Mapping. ICONIP (2) 2012: 591-598 - [c58]Guénaël Cabanes, Younès Bennani:
Change detection in data streams through unsupervised learning. IJCNN 2012: 1-6 - [c57]Nistor Grozavu, Younès Bennani, Lazhar Labiod:
Feature space transformation for transfer learning. IJCNN 2012: 1-6 - 2011
- [j19]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Simultaneous Topological Categorical Data Clustering and Cluster characterization. Int. J. Comput. 10(1): 9-23 (2011) - [j18]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
A Self-Organizing Map for mixed continuous and Categorical Data. Int. J. Comput. 10(1): 24-32 (2011) - [j17]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Classification relationnelle topographique. Rev. d'Intelligence Artif. 25(3): 393-410 (2011) - [c56]Lazhar Labiod, Younès Bennani:
A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity. ESANN 2011 - [c55]Guénaël Cabanes, Younès Bennani:
Apprendre les contraintes topologiques dans les cartes auto-organisatrices. EGC 2011: 137-148 - [c54]Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot:
Structuration automatique des flux télévisuels par apprentissage non supervisé des répétitions. EGC 2011: 311-312 - [c53]Lazhar Labiod, Younès Bennani:
Interprétation spectrale de la classification relationnelle. EGC 2011: 431-436 - [c52]Guénaël Cabanes, Younès Bennani:
Visualisation de l'intra et inter structure des groupes en classification non supervisée. EGC 2011: 479-490 - [c51]Rakia Jaziri, Mustapha Lebbah, Younès Bennani, Jean-Hugues Chenot:
SOS-HMM: Self-Organizing Structure of Hidden Markov Model. ICANN (2) 2011: 87-94 - [c50]Nistor Grozavu, Younès Bennani:
Simultaneous Pattern and Variable Weighting during Topological Clustering. ICONIP (1) 2011: 570-579 - [c49]Guénaël Cabanes, Younès Bennani, Dominique Fresneau:
A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining. ICONIP (2) 2011: 745-752 - [c48]Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
Probabilistic Self-Organizing Maps for multivariate sequences. IJCNN 2011: 851-858 - [c47]Nistor Grozavu, Mohamad Ghassany, Younès Bennani:
Learning confidence exchange in Collaborative Clustering. IJCNN 2011: 872-879 - [c46]Guénaël Cabanes, Younès Bennani:
Coupling clustering and visualization for knowledge discovery from data. IJCNN 2011: 2127-2134 - [c45]Fatma Hamdi, Younès Bennani:
Learning random subspace novelty detection filters. IJCNN 2011: 2273-2280 - [p1]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. Fouille de données complexes 2011: 53-80 - [e3]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2010, Université Paris 13, Institut Galilée, Villetaneuse, France, 29-30 juin 2010. RNTI A-5, Hermann-Éditions 2011, ISBN 978-2-70568-221-7 [contents] - 2010
- [j16]Guénaël Cabanes, Younès Bennani:
Unsupervised Topographic Learning for Spatiotemporal Data Mining. Adv. Artif. Intell. 2010: 832542:1-832542:12 (2010) - [j15]Nistor Grozavu, Younès Bennani:
Topological Collaborative Clustering. Aust. J. Intell. Inf. Process. Syst. 12(3) (2010) - [j14]Guénaël Cabanes, Younès Bennani, Dominique Fresneau:
Mining RFID Behavior Data using Unsupervised Learning. Int. J. Appl. Logist. 1(1): 28-47 (2010) - [j13]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Relational Topological Map. Int. J. Comput. Intell. Appl. 9(4): 353-370 (2010) - [c44]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Formulation Condorcéenne du critère de la modularité. AAFD 2010: 171-187 - [c43]Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël:
Comparaisons structurelles de grandes bases de données par apprentissage non-supervisé. EGC 2010: 115-120 - [c42]Mustapha Lebbah, Younès Bennani:
Sous-échantillonnage topographique par apprentissage semi-supervisé. EGC 2010: 121-126 - [c41]Nistor Grozavu, Lazhar Labiod, Younès Bennani:
Autonomous Clustering Characterization for Categorical Data. ICMLA 2010: 607-613 - [c40]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Clustering Categorical Data Using an Extended Modularity Measure. ICONIP (2) 2010: 310-320 - [c39]Guénaël Cabanes, Younès Bennani:
Learning Topological Constraints in Self-Organizing Map. ICONIP (2) 2010: 367-374 - [c38]Fatma Hamdi, Mustapha Lebbah, Younès Bennani:
Topographic under-sampling for unbalanced distributions. IJCNN 2010: 1-6 - [c37]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Relational topological clustering. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j12]Sujeevan Aseervatham, Younès Bennani:
Semi-structured document categorization with a semantic kernel. Pattern Recognit. 42(9): 2067-2076 (2009) - [c36]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. EGC (best of volume) 2009: 133-147 - [c35]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Caractérisation automatique des classes découvertes en classification non supervisée. EGC 2009: 43-54 - [c34]Guénaël Cabanes, Younès Bennani, Dominique Fresneau:
Exploration de données de traçabilité issues de la RFID par apprentissage non-supervisé. EGC 2009: 451-452 - [c33]Guénaël Cabanes, Younès Bennani, Frédéric Dufau-Joël:
Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning. ICMLA 2009: 372-377 - [c32]Nistor Grozavu, Younès Bennani:
A New Competitive Strategy for Self Organizing Map Learning. ICMLA 2009: 689-692 - [c31]Guénaël Cabanes, Younès Bennani:
Comparing Large Datasets Structures through Unsupervised Learning. ICONIP (1) 2009: 546-553 - [c30]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
From variable weighting to cluster characterization in topographic unsupervised learning. IJCNN 2009: 1005-1010 - [e2]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2008, Université Paris 13, Institut Galilée, Villetaneuse, France, 8-9 avril 2008. RNTI A-3, Cépaduès-Éditions 2009, ISBN 978-2-85428-899-5 [contents] - 2008
- [j11]Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi:
A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. Int. J. Comput. Intell. Appl. 7(4): 363-383 (2008) - [c29]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Pondération locale des variables en apprentissage numérique non-supervisé. EGC 2008: 321-330 - [c28]Guénaël Cabanes, Younès Bennani:
Un algorithme de classification topographique non supervisée à deux niveaux simultanés. EGC 2008: 619-630 - [c27]Mustapha Lebbah, Younès Bennani, Hamid Benhadda:
Relational Analysis for Consensus Clustering from Multiple Partitions. ICMLA 2008: 218-223 - [c26]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
Probabilistic Mixed Topological Map for Categorical and Continuous Data. ICMLA 2008: 224-231 - [c25]Guénaël Cabanes, Younès Bennani:
A local density-based simultaneous two-level algorithm for topographic clustering. IJCNN 2008: 1176-1182 - [c24]Guénaël Cabanes, Younès Bennani, Claire Chartagnat, Dominique Fresneau:
Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining. IWRT 2008: 63-72 - [e1]Younès Bennani, Emmanuel Viennet:
Apprentissage Artificiel et Fouille de Données, AAFD 2006, Université Paris 13, Institut Galilée, Villetaneuse, France, 27-28 avril 2006. RNTI A-2, Cépaduès-Éditions 2008, ISBN 978-2-85428-808-7 [contents] - 2007
- [j10]Danielo Goncalves Gomes, Nazim Agoulmine, Younès Bennani, José Neuman de Souza:
Predictive connectionist approach for VoD bandwidth management. Comput. Commun. 30(10): 2236-2247 (2007) - [c23]Sujeevan Aseervatham, Emmanuel Viennet, Younès Bennani:
A Semantic Kernel for Semi-structured DocumentS. ICDM 2007: 403-408 - [c22]Guénaël Cabanes, Younès Bennani:
A simultaneous two-level clustering algorithm for automatic model selection. ICMLA 2007: 316-321 - [c21]Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
BeSOM : Bernoulli on Self-Organizing Map. IJCNN 2007: 631-636 - [c20]Catherine Recanati, Nicoleta Rogovschi, Younès Bennani:
Hybrid Unsupervised Learning to Uncover Discourse Structure. LTC 2007: 258-269 - [i1]Catherine Recanati, Nicoleta Rogovschi, Younès Bennani:
The structure of verbal sequences analyzed with unsupervised learning techniques. CoRR abs/0710.2446 (2007) - 2006
- [j9]Khalid Benabdeslem, Younès Bennani:
Dendogram-based SVM for Multi-Class Classification. J. Comput. Inf. Technol. 14(4): 283-289 (2006) - [c19]Emmanuel Viennet, Sébastien Guérif, Younès Bennani:
Réduction des dimensions des données en apprentissage artificiel. AAFD 2006: 135-165 - [c18]Sébastien Guérif, Younès Bennani:
Selection of clusters number and features subset during a two-levels clustering task. Artificial Intelligence and Soft Computing 2006: 28-33 - [c17]Zeina Jrad, Francine Krief, Lahcène Dehni, Younès Bennani:
Artificial Intelligence Techniques in the Dynamic Negotiation of QoS: A User Interface for the Internet New Generation. Autonomic Networking 2006: 146-158 - 2005
- [j8]Farida Zehraoui, Younès Bennani:
New Self-organizing Maps for Multivariate Sequences Processing. Int. J. Comput. Intell. Appl. 5(4): 439-456 (2005) - [c16]Lahcène Dehni, Younès Bennani, Francine Krief:
LEA2C: Low Energy Adaptive Connectionist Clustering for Wireless Sensor Networks. MATA 2005: 405-415 - [c15]Lahcène Dehni, Francine Krief, Younès Bennani:
Power Control and Clustering in Wireless Sensor Networks. Med-Hoc-Net 2005: 31-40 - 2004
- [c14]Farida Zehraoui, Younès Bennani:
M-SOM-ART: Growing Self Organizing Map for Sequences Clustering and Classification. ECAI 2004: 564-570 - 2002
- [c13]Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Visualization and Analysis of Web Navigation Data. ICANN 2002: 486-491 - 2001
- [j7]Younès Bennani, Fabrice Bossaert:
Modular Connectionist Modelling and Classification Approaches for Local Diagnosis in Telecommunication Traffic Management. Int. J. Comput. Intell. Appl. 1(1): 53-70 (2001) - [j6]Méziane Yacoub, Younès Bennani:
Une mesure de pertinence pour la sélection de variables dans les perceptrons multicouches. Rev. d'Intelligence Artif. 15(3-4): 393-410 (2001) - [c12]Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Connectionist Approach for Website Visitors Behaviors Mining. AICCSA 2001: 511- - 2000
- [j5]Méziane Yacoub, Younès Bennani:
Features Selection and Architecture Optimization in Connectionist Systems. Int. J. Neural Syst. 10(5): 379-395 (2000) - [c11]Vladimir Radevski, Younès Bennani:
Reliability Control in Committee Classifier Environment. IJCNN (3) 2000: 561-565 - [c10]Méziane Yacoub, Younès Bennani:
Detection et Selection d'Informations Pertinentes : application a la reconnaissance de visages. RIAO 2000: 649-664
1990 – 1999
- 1999
- [c9]Younès Bennani:
Adaptive weighting of pattern features during learning. IJCNN 1999: 3008-3013 - [c8]Méziane Yacoub, Younès Bennani:
Discriminative feature extraction and selection applied to face recognition. IJCNN 1999: 3291-3294 - 1998
- [c7]Tayeb Nedjari, Younès Bennani:
A Hybrid System for Symbolic-Connectionist Interaction. NC 1998: 922-925 - 1997
- [c6]Younès Bennani, Fabrice Bossaert, Elisabeth Didelet:
Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic Management. ICANN 1997: 1089-1094 - 1995
- [j4]Younès Bennani:
A modular and hybrid connectionist system for speaker identification. Neural Comput. 7(4): 791-798 (1995) - [j3]Younès Bennani, Patrick Gallinari:
Neural networks for discrimination and modelization of speakers. Speech Commun. 17(1-2): 159-175 (1995) - 1994
- [j2]Younès Bennani:
Multi-Expert and Hybrid Connectionist Approach for Pattern Recognition: Speaker Identification Task. Int. J. Neural Syst. 5(3): 207-216 (1994) - 1993
- [c5]Younès Bennani:
Probabilistic cooperation of connectionist expect modules: validation on a speaker identification task. ICASSP (1) 1993: 541-544 - 1992
- [c4]Younès Bennani:
Speaker identification through a modular connectionist architecture: evaluation on the timit database. ICSLP 1992: 607-610 - 1991
- [c3]Younès Bennani, Nasser Chaourar, Patrick Gallinari, Abdelhamid Mellouk:
Validation of neural net architectures on speech recognition tasks. ICASSP 1991: 97-100 - [c2]Younès Bennani, Patrick Gallinari:
On the use of TDNN-extracted features information in talker identification. ICASSP 1991: 385-388 - 1990
- [j1]Khalid Choukri, S. Soudoplatoff, A. Wallyn, Frédéric Bimbot, H. Valbret, Patrick Gallinari, Younès Bennani, A. Varga, Manfred Immendörfer, T. Michaux:
Speech processing and recognition using integrated neurocomputing techniques (Esprit Basic Research Action 3228: SPRINT). Neurocomputing 2(2): 71-78 (1990) - [c1]Younès Bennani, Françoise Fogelman-Soulié, Patrick Gallinari:
A connectionist approach for automatic speaker identification. ICASSP 1990: 265-268
Coauthor Index
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