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

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

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

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

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

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

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

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

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

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

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

Pondération et classification simultanée de données binaires et continues. - Nicoleta Rogovschi; Mustapha Lebbah; Nistor Grozavu (EGC, 2011)

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

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

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

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

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

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

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)

Incremental learning from several different microarrays. - Vladimir Nikulin; Nicoleta Rogovschi; Nistor Grozavu (IJCNN, 2013)

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

Opinion retrieval through unsupervised topological learning. - Nicoleta Rogovschi; Nistor Grozavu (IJCNN, 2014)

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

Spectral Clustering Trough Topological Learning for Large Datasets. - Nicoleta Rogovschi; Nistor Grozavu; Lazhar Labiod (ICONIP (2), 2015)

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

VHR satellite image segmentation based on topological unsupervised learning. - Nistor Grozavu; Nicoleta Rogovschi; Guénaël Cabanes; Andres Troya-Galvis; Pierre Gançarski (MVA, 2015)

Compose: A Domain Specific Language for scientific code computation. - Benoit Charroux; Layth Sliman; Yvan Stroppa; Nistor Grozavu (CFIP/NOTERE, 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)

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)

Features Learning and Transformation Based on Deep Autoencoders. - Eric Janvier; Thierry Couronne; Nistor Grozavu (ICONIP (3), 2016)

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. - Jun Kitazono; Nistor Grozavu; Nicoleta Rogovschi; Toshiaki Omori; Seiichi Ozawa (ICONIP (3), 2016)

Automated topological co-clustering using fuzzy features partition. - Nistor Grozavu; Guénaël Cabanes; Hatim Chahdi; Nicoleta Rogovschi (IJCNN, 2016)

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

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

t-Distributed stochastic neighbor embedding spectral clustering. - Nicoleta Rogovschi; Jun Kitazono; Nistor Grozavu; Toshiaki Omori; Seiichi Ozawa (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)

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 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)

t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations. - Nicoleta Rogovschi; Sarah Zouinina; Basarab Matei; Issam Falih; Nistor Grozavu; Seiichi Ozawa (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)

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)

Seeding Initial Population, in Genetic Algorithm for Features Selection. - Marc Chevallier; Nicoleta Rogovschi; Faouzi Boufarès; Nistor Grozavu; Charly Clairmont (SoCPaR, 2020)

Near duplicate column identification: a machine learning approach. - Marc Chevallier; Faouzi Boufarès; Nistor Grozavu; Nicoleta Rogovschi; Charly Clairmont (SSCI, 2021)

Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection. - Marc Chevallier; Nistor Grozavu; Faouzi Boufarès; Nicoleta Rogovschi; Charly Clairmont (AIAI (1), 2022)

High Dimensional Data Stream Clustering using Topological Representation Learning. - Maha Ben-Fares; Nistor Grozavu; Parisa Rastin; Pierre Holat (SSCI, 2022)

Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization. - Yasser Khalafaoui; Nistor Grozavu; Basarab Matei; Laurent-Walter Goix (SSCI, 2022)

French translation of a dialogue dataset and text-based emotion detection. - Pierre-Yves Genest; Laurent-Walter Goix; Yasser Khalafaoui; Elöd Egyed-Zsigmond; Nistor Grozavu (Data Knowl. Eng., 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)

Joint Multi-View Collaborative Clustering. - Yasser Khalafaoui; Basarab Matei; Nistor Grozavu; Martino Lovisetto (IJCNN, 2023)

Multi-view Clustering using Barycentric Coordinate Representation. - Xiaotong Qian; Lili Jin; Guénaël Cabanes; Parisa Rastin; Nistor Grozavu (IJCNN, 2023)

Clustering Multi-Vues en utilisant la Représentation des Coordonnées Barycentriques. - Xiaotong Qian; Lili Jin; Guénaël Cabanes; Parisa Rastin; Nistor Grozavu (EGC, 2024)

Incremental Multi-view Clustering using Barycentric Coordinate Representation. - Xiaotong Qian; Guénaël Cabanes; Parisa Rastin; Nistor Grozavu (IJCNN, 2024)

CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems. - Yasser Khalafaoui; Martino Lovisetto; Basarab Matei; Nistor Grozavu (CoRR, 2024)

Incremental clustering based on Wasserstein distance between histogram models. - Xiaotong Qian; Guénaël Cabanes; Parisa Rastin; Mohamed Alae Guidani; Ghassen Marrakchi; Marianne Clausel; Nistor Grozavu (Pattern Recognit., 2025)

Online Clustering of Massive Text Data Streams. - Maha Ben-Fares; Parisa Rastin; Nistor Grozavu; Pierre Holat (SN Comput. Sci., 2025)

Deep matrix factorization with adaptive weights for multi-view clustering. - Yasser Khalafaoui; Basarab Matei; Martino Lovisetto; Nistor Grozavu (Pattern Recognit., 2026)