Nicoleta Rogovschi

According to our database, Nicoleta Rogovschi authored at least 37 papers between 2007 and 2023.

Collaborative distances:

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

2023

Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems.

Khalil Bachiri, Faouzi Boufarès, Maria Malek, Nicoleta Rogovschi, Ali Yahyaouy

Proceedings of the International Conference on Machine Learning and Applications, 2023

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

Data Anonymization through Collaborative Multi-view Microaggregation.

Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui

J. Intell. Syst., 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

A Two-Levels Data Anonymization Approach.

Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

2019

Preserving Utility during Attribute-oriented Data Anonymization Process.

Sarah Zouinina, Younès Bennani, Maha Ben-Fares, Nicoleta Rogovschi, Abdelouahid Lyhyaoui

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

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

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

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

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

2016

A dynamic collaborative filtering system via a weighted clustering approach.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Neurocomputing, 2016

Stochastic Co-clustering for Document-Term Data.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Proceedings of the 2016 SIAM International Conference on Data Mining, 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

Model-based Co-clustering for High Dimensional Sparse Data.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

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

An Efficient Incremental Collaborative Filtering System.

Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif

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

Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif.

Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014

Opinion retrieval through unsupervised topological learning.

Nicoleta Rogovschi, Nistor Grozavu

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

2013

A topographical nonnegative matrix factorization algorithm.

Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif

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

Incremental learning from several different microarrays.

Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu

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

2012

A spectral algorithm for topographical Co-clustering.

Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif

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

Classification topologique probabiliste pour des données catégorielles.

Nicoleta Rogovschi, Mohamed Nadif

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

Un Algorithme Spectral pour le Co-clustering Topographique.

Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif

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

2011

Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes.

Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani

Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Probabilistic Self-Organizing Maps for multivariate sequences.

Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani

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

Weighted Topological Clustering for Categorical Data.

Nicoleta Rogovschi, Mohamed Nadif

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

2008

A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering.

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi

Int. J. Comput. Intell. Appl., 2008

Probabilistic Mixed Topological Map for Categorical and Continuous Data.

Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

The structure of verbal sequences analyzed with unsupervised learning techniques

Catherine Recanati, Nicoleta Rogovschi, Younès Bennani

CoRR, 2007

Enchaînements verbaux - étude sur le temps et l'aspect utilisant des techniques d'apprentissage non supervisé.

Catherine Recanati, Nicoleta Rogovschi

Proceedings of the Actes de la 14ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 2007

Hybrid Unsupervised Learning to Uncover Discourse Structure.

Catherine Recanati, Nicoleta Rogovschi, Younès Bennani

Proceedings of the Human Language Technology. Challenges of the Information Society, 2007

BeSOM : Bernoulli on Self-Organizing Map.

Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani

Proceedings of the International Joint Conference on Neural Networks, 2007