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2020 – today
- 2024
[c56]Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu:
Clustering Multi-Vues en utilisant la Représentation des Coordonnées Barycentriques. EGC 2024: 353-360- [c55]Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu:
Incremental Multi-view Clustering using Barycentric Coordinate Representation. IJCNN 2024: 1-8 - [i3]Yasser Khalafaoui, Martino Lovisetto, Basarab Matei, Nistor Grozavu:
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems. CoRR abs/2412.02295 (2024) - 2023
- [c54]Yasser Khalafaoui, Basarab Matei, Nistor Grozavu, Martino Lovisetto
:
Joint Multi-View Collaborative Clustering. IJCNN 2023: 1-7 - [c53]Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu:
Multi-view Clustering using Barycentric Coordinate Representation. IJCNN 2023: 1-8 - [i2]Yasser Khalafaoui, Nistor Grozavu, Basarab Matei, Laurent-Walter Goix:
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization. CoRR abs/2308.04778 (2023) - [i1]Yasser Khalafaoui, Basarab Matei, Nistor Grozavu, Martino Lovisetto:
Joint Multi-View Collaborative Clustering. CoRR abs/2311.12859 (2023) - 2022
- [j11]Pierre-Yves Genest, Laurent-Walter Goix, Yasser Khalafaoui, Elöd Egyed-Zsigmond, Nistor Grozavu:
French translation of a dialogue dataset and text-based emotion detection. Data Knowl. Eng. 142: 102099 (2022) - [j10]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) - [c52]Marc Chevallier, Nistor Grozavu, Faouzi Boufarès, Nicoleta Rogovschi, Charly Clairmont:
Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection. AIAI (1) 2022: 432-444 - [c51]Yasser Khalafaoui, Nistor Grozavu, Basarab Matei, Laurent-Walter Goix:
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization. SSCI 2022: 1386-1391 - [c50]Maha Ben-Fares, Nistor Grozavu, Parisa Rastin, Pierre Holat:
High Dimensional Data Stream Clustering using Topological Representation Learning. SSCI 2022: 1415-1422 - 2021
- [c49]Marc Chevallier, Faouzi Boufarès, Nistor Grozavu, Nicoleta Rogovschi, Charly Clairmont:
Near duplicate column identification: a machine learning approach. SSCI 2021: 1-7 - 2020
- [c48]Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Matei:
Quantum Collaborative K-means. IJCNN 2020: 1-7 - [c47]Kaoutar Benlamine, Younès Bennani, Basarab Matei, Nistor Grozavu:
Quantum Semi Non-negative Matrix Factorization. SoCPaR 2020: 135-144 - [c46]Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu, Charly Clairmont:
Seeding Initial Population, in Genetic Algorithm for Features Selection. SoCPaR 2020: 572-582
2010 – 2019
- 2019
- [j9]Nicoleta Rogovschi, Sarah Zouinina, Basarab Matei, Issam Falih, Nistor Grozavu, Seiichi Ozawa:
t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations. Aust. J. Intell. Inf. Process. Syst. 17(1): 78-86 (2019) - [j8]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) - [c45]Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Basarab Matei:
Collaborative Non-negative Matrix Factorization. ICANN (4) 2019: 655-666 - [c44]Kaoutar Benlamine, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei, Nistor Grozavu:
Distance Estimation for Quantum Prototypes Based Clustering. ICONIP (3) 2019: 561-572 - 2018
- [c43]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 - [c42]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani, Basarab Matei:
Collaborative Multi-View Attributed Networks Mining. IJCNN 2018: 1-8 - [c41]Jérémie Sublime, Denis Maurel, Nistor Grozavu, Basarab Matei, Younès Bennani:
Optimizing exchange confidence during collaborative clustering. IJCNN 2018: 1-8 - [c40]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 - [c39]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
Topological multi-view clustering for collaborative filtering. INNS Conference on Big Data 2018: 306-312 - [c38]Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi:
Efficient k-Anonymization through Constrained Collaborative Clustering. SSCI 2018: 405-411 - [c37]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
Community detection in Attributed Network. WWW (Companion Volume) 2018: 1299-1306 - 2017
- [j7]Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Entropy based probabilistic collaborative clustering. Pattern Recognit. 72: 144-157 (2017) - [c36]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
ANCA : Attributed Network Clustering Algorithm. COMPLEX NETWORKS 2017: 241-252 - [c35]Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa:
t-Distributed stochastic neighbor embedding spectral clustering. IJCNN 2017: 1628-1632 - [c34]Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani:
Collaborative clustering between different topological partitions. IJCNN 2017: 4111-4117 - 2016
- [c33]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 - [c32]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 - [c31]Eric Janvier, Thierry Couronne, Nistor Grozavu:
Features Learning and Transformation Based on Deep Autoencoders. ICONIP (3) 2016: 111-118 - [c30]Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa:
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. ICONIP (3) 2016: 119-128 - [c29]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille:
Towards Ontology Reasoning for Topological Cluster Labeling. ICONIP (3) 2016: 156-164 - [c28]Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi:
Automated topological co-clustering using fuzzy features partition. IJCNN 2016: 2638-2645 - 2015
- [j6]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) - [c27]Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod:
Spectral Clustering Trough Topological Learning for Large Datasets. ICONIP (2) 2015: 216-223 - [c26]Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani:
A Recommendation System Based on Unsupervised Topological Learning. ICONIP (2) 2015: 224-232 - [c25]Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Collaborative clustering with heterogeneous algorithms. IJCNN 2015: 1-8 - [c24]Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski:
VHR satellite image segmentation based on topological unsupervised learning. MVA 2015: 543-546 - [c23]Benoit Charroux, Layth Sliman, Yvan Stroppa, Nistor Grozavu:
Compose: A Domain Specific Language for scientific code computation. CFIP/NOTERE 2015: 1-4 - [c22]Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols:
Vertical collaborative clustering using generative topographic maps. SoCPaR 2015: 199-204 - [c21]Parisa Rastin, Guénaël Cabanes, Nistor Grozavu, Younès Bennani:
Collaborative Clustering: How to Select the Optimal Collaborators? SSCI 2015: 787-794 - 2014
- [c20]Nistor Grozavu, Guénaël Cabanes, Younès Bennani:
Diversity analysis in collaborative clustering. IJCNN 2014: 1754-1761 - [c19]Nicoleta Rogovschi, Nistor Grozavu:
Opinion retrieval through unsupervised topological learning. IJCNN 2014: 3130-3134 - 2013
- [c18]Guénaël Cabanes, Younès Bennani, Nistor Grozavu:
Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud. ICDM Workshops 2013: 513-520 - [c17]Mohamad Ghassany, Nistor Grozavu, Younès Bennani:
Collaborative multi-view clustering. IJCNN 2013: 1-8 - [c16]Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu:
Incremental learning from several different microarrays. IJCNN 2013: 1-7 - 2012
- [j5]Mohamad Ghassany, Nistor Grozavu, Younès Bennani:
Collaborative Clustering using Prototype-Based Techniques. Int. J. Comput. Intell. Appl. 11(3) (2012) - [c15]Nistor Grozavu, Younès Bennani, Lazhar Labiod:
Transformation de l'espace de description pour l'apprentissage par transfert. EGC 2012: 35-40 - [c14]Mohamad Ghassany, Nistor Grozavu, Younès Bennani:
Collaborative Generative Topographic Mapping. ICONIP (2) 2012: 591-598 - [c13]Nistor Grozavu, Younès Bennani, Lazhar Labiod:
Feature space transformation for transfer learning. IJCNN 2012: 1-6 - 2011
- [j4]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Simultaneous Topological Categorical Data Clustering and Cluster characterization. Int. J. Comput. 10(1): 9-23 (2011) - [j3]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Classification relationnelle topographique. Rev. d'Intelligence Artif. 25(3): 393-410 (2011) - [c12]Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu:
Pondération et classification simultanée de données binaires et continues. EGC 2011: 65-70 - [c11]Nistor Grozavu, Younès Bennani:
Simultaneous Pattern and Variable Weighting during Topological Clustering. ICONIP (1) 2011: 570-579 - [c10]Nistor Grozavu, Mohamad Ghassany, Younès Bennani:
Learning confidence exchange in Collaborative Clustering. IJCNN 2011: 872-879 - 2010
- [j2]Nistor Grozavu, Younès Bennani:
Topological Collaborative Clustering. Aust. J. Intell. Inf. Process. Syst. 12(3) (2010) - [j1]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Relational Topological Map. Int. J. Comput. Intell. Appl. 9(4): 353-370 (2010) - [c9]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Formulation Condorcéenne du critère de la modularité. AAFD 2010: 171-187 - [c8]Nistor Grozavu, Lazhar Labiod, Younès Bennani:
Autonomous Clustering Characterization for Categorical Data. ICMLA 2010: 607-613 - [c7]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Clustering Categorical Data Using an Extended Modularity Measure. ICONIP (2) 2010: 310-320 - [c6]Lazhar Labiod, Nistor Grozavu, Younès Bennani:
Relational topological clustering. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c5]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Cluster-Dependent Feature Selection through a Weighted Learning Paradigm. EGC (best of volume) 2009: 133-147 - [c4]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Caractérisation automatique des classes découvertes en classification non supervisée. EGC 2009: 43-54 - [c3]Nistor Grozavu, Younès Bennani:
A New Competitive Strategy for Self Organizing Map Learning. ICMLA 2009: 689-692 - [c2]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
From variable weighting to cluster characterization in topographic unsupervised learning. IJCNN 2009: 1005-1010 - 2008
- [c1]Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
Pondération locale des variables en apprentissage numérique non-supervisé. EGC 2008: 321-330
Coauthor Index
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