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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]