Nistor Grozavu

According to our database, Nistor Grozavu authored at least 67 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Incremental Multi-view Clustering using Barycentric Coordinate Representation.

Xiaotong Qian, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu

Proceedings of the International Joint Conference on Neural Networks, 2024

Clustering Multi-Vues en utilisant la Représentation des Coordonnées Barycentriques.

Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Multi-view Clustering using Barycentric Coordinate Representation.

Xiaotong Qian, Lili Jin, Guénaël Cabanes, Parisa Rastin, Nistor Grozavu

Proceedings of the International Joint Conference on Neural Networks, 2023

Joint Multi-View Collaborative Clustering.

Yasser Khalafaoui, Basarab Matei, Nistor Grozavu, Martino Lovisetto

Proceedings of the International Joint Conference on Neural Networks, 2023

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

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

Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization.

Yasser Khalafaoui, Nistor Grozavu, Basarab Matei, Laurent-Walter Goix

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

High Dimensional Data Stream Clustering using Topological Representation Learning.

Maha Ben-Fares, Nistor Grozavu, Parisa Rastin, Pierre Holat

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

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

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

Near duplicate column identification: a machine learning approach.

Marc Chevallier, Faouzi Boufarès, Nistor Grozavu, Nicoleta Rogovschi, Charly Clairmont

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Seeding Initial Population, in Genetic Algorithm for Features Selection.

Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu, Charly Clairmont

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Quantum Semi Non-negative Matrix Factorization.

Kaoutar Benlamine, Younès Bennani, Basarab Matei, Nistor Grozavu

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), 2020

Quantum Collaborative K-means.

Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Matei

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

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

Distance Estimation for Quantum Prototypes Based Clustering.

Kaoutar Benlamine, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei, Nistor Grozavu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Collaborative Non-negative Matrix Factorization.

Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Basarab Matei

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Community detection in Attributed Network.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Efficient k-Anonymization through Constrained Collaborative Clustering.

Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Topological multi-view clustering for collaborative filtering.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Domain Name Recommendation based on Neural Network.

Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Nicoleta Rogovschi, Kamel Haddadou, Ahmed Amamou

Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Optimizing exchange confidence during collaborative clustering.

Jérémie Sublime, Denis Maurel, Nistor Grozavu, Basarab Matei, Younès Bennani

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Collaborative Multi-View Attributed Networks Mining.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani, Basarab Matei

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering.

Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Entropy based probabilistic collaborative clustering.

Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Pattern Recognit., 2017

t-Distributed stochastic neighbor embedding spectral clustering.

Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Collaborative clustering between different topological partitions.

Antoine Lachaud, Nistor Grozavu, Basarab Matei, Younès Bennani

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

ANCA : Attributed Network Clustering Algorithm.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

Automated topological co-clustering using fuzzy features partition.

Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom.

Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Features Learning and Transformation Based on Deep Autoencoders.

Eric Janvier, Thierry Couronne, Nistor Grozavu

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Towards Ontology Reasoning for Topological Cluster Labeling.

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille

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.

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

On the Use of Ontology as A Priori Knowledge into Constrained Clustering.

Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani

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.

Jérémie Sublime, Nistor Grozavu, Guénaël Cabanes, Younès Bennani, Antoine Cornuéjols

Int. J. Hybrid Intell. Syst., 2015

Collaborative Clustering: How to Select the Optimal Collaborators?

Parisa Rastin, Guénaël Cabanes, Nistor Grozavu, Younès Bennani

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Vertical collaborative clustering using generative topographic maps.

Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Compose: A Domain Specific Language for scientific code computation.

Benoit Charroux, Layth Sliman, Yvan Stroppa, Nistor Grozavu

Proceedings of the International Conference on Protocol Engineering, 2015

VHR satellite image segmentation based on topological unsupervised learning.

Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Collaborative clustering with heterogeneous algorithms.

Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Spectral Clustering Trough Topological Learning for Large Datasets.

Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Recommendation System Based on Unsupervised Topological Learning.

Issam Falih, Nistor Grozavu, Rushed Kanawati, Younès Bennani

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Opinion retrieval through unsupervised topological learning.

Nicoleta Rogovschi, Nistor Grozavu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Diversity analysis in collaborative clustering.

Nistor Grozavu, Guénaël Cabanes, Younès Bennani

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Incremental learning from several different microarrays.

Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Collaborative multi-view clustering.

Mohamad Ghassany, Nistor Grozavu, Younès Bennani

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud.

Guénaël Cabanes, Younès Bennani, Nistor Grozavu

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Collaborative Clustering using Prototype-Based Techniques.

Mohamad Ghassany, Nistor Grozavu, Younès Bennani

Int. J. Comput. Intell. Appl., 2012

Feature space transformation for transfer learning.

Nistor Grozavu, Younès Bennani, Lazhar Labiod

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Collaborative Generative Topographic Mapping.

Mohamad Ghassany, Nistor Grozavu, Younès Bennani

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Transformation de l'espace de description pour l'apprentissage par transfert.

Nistor Grozavu, Younès Bennani, Lazhar Labiod

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011

Classification relationnelle topographique.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Rev. d'Intelligence Artif., 2011

Simultaneous Topological Categorical Data Clustering and Cluster characterization.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Int. J. Comput., 2011

Learning confidence exchange in Collaborative Clustering.

Nistor Grozavu, Mohamad Ghassany, Younès Bennani

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Simultaneous Pattern and Variable Weighting during Topological Clustering.

Nistor Grozavu, Younès Bennani

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Pondération et classification simultanée de données binaires et continues.

Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Relational Topological Map.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Int. J. Comput. Intell. Appl., 2010

Topological Collaborative Clustering.

Nistor Grozavu, Younès Bennani

Aust. J. Intell. Inf. Process. Syst., 2010

Relational topological clustering.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2010

Clustering Categorical Data Using an Extended Modularity Measure.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Proceedings of the Neural Information Processing. Models and Applications, 2010

Autonomous Clustering Characterization for Categorical Data.

Nistor Grozavu, Lazhar Labiod, Younès Bennani

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Formulation Condorcéenne du critère de la modularité.

Lazhar Labiod, Nistor Grozavu, Younès Bennani

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2009

From variable weighting to cluster characterization in topographic unsupervised learning.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the International Joint Conference on Neural Networks, 2009

A New Competitive Strategy for Self Organizing Map Learning.

Nistor Grozavu, Younès Bennani

Proceedings of the International Conference on Machine Learning and Applications, 2009

Caractérisation automatique des classes découvertes en classification non supervisée.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Cluster-Dependent Feature Selection through a Weighted Learning Paradigm.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

2008

Pondération locale des variables en apprentissage numérique non-supervisé.

Nistor Grozavu, Younès Bennani, Mustapha Lebbah

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008