Nicoleta Rogovschi

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 17

Top Topics

Data Anonymization

Top Venues

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

Publications

Khalil Bachiri, Faouzi Boufarès, Maria Malek, Nicoleta Rogovschi, Ali Yahyaouy
Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems. ICMLA (2023)
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)
Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui
Data Anonymization through Collaborative Multi-view Microaggregation. J. Intell. Syst. 30 (1) (2021)
Marc Chevallier, Faouzi Boufarès, Nistor Grozavu, Nicoleta Rogovschi, Charly Clairmont
Near duplicate column identification: a machine learning approach. SSCI (2021)
Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui
A Two-Levels Data Anonymization Approach. AIAI (1) (2020)
Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu, Charly Clairmont
Seeding Initial Population, in Genetic Algorithm for Features Selection. SoCPaR (2020)
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) (2019)
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) (2019)
Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi
Efficient k-Anonymization through Constrained Collaborative Clustering. SSCI (2018)
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)
Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi
A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering. ICANN (3) (2018)
Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa
t-Distributed stochastic neighbor embedding spectral clustering. IJCNN (2017)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
Model-based Co-clustering for High Dimensional Sparse Data. AISTATS (2016)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
A dynamic collaborative filtering system via a weighted clustering approach. Neurocomputing 175 (2016)
Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi
Automated topological co-clustering using fuzzy features partition. IJCNN (2016)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
Stochastic Co-clustering for Document-Term Data. SDM (2016)
Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. ICONIP (3) (2016)
Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
An Efficient Incremental Collaborative Filtering System. ICONIP (3) (2015)
Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod
Spectral Clustering Trough Topological Learning for Large Datasets. ICONIP (2) (2015)
Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif
Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. EGC (2015)
Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski
VHR satellite image segmentation based on topological unsupervised learning. MVA (2015)
Nicoleta Rogovschi, Nistor Grozavu
Opinion retrieval through unsupervised topological learning. IJCNN (2014)
Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
A topographical nonnegative matrix factorization algorithm. IJCNN (2013)
Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu
Incremental learning from several different microarrays. IJCNN (2013)
Nicoleta Rogovschi, Mohamed Nadif
Classification topologique probabiliste pour des données catégorielles. EGC (2012)
Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
Un Algorithme Spectral pour le Co-clustering Topographique. EGC (2012)
Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
A spectral algorithm for topographical Co-clustering. IJCNN (2012)
Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu
Pondération et classification simultanée de données binaires et continues. EGC (2011)
Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani
Probabilistic Self-Organizing Maps for multivariate sequences. IJCNN (2011)
Nicoleta Rogovschi, Mohamed Nadif
Weighted Topological Clustering for Categorical Data. ICONIP (1) (2011)
Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
A Self-Organizing Map for mixed continuous and Categorical Data. Int. J. Comput. 10 (1) (2011)
Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
Probabilistic Mixed Topological Map for Categorical and Continuous Data. ICMLA (2008)
Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi
A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. Int. J. Comput. Intell. Appl. 7 (4) (2008)
Catherine Recanati, Nicoleta Rogovschi
Enchaînements verbaux - étude sur le temps et l'aspect utilisant des techniques d'apprentissage non supervisé. TALN (Articles longs) (2007)
Catherine Recanati, Nicoleta Rogovschi, Younès Bennani
Hybrid Unsupervised Learning to Uncover Discourse Structure. LTC (2007)
Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani
BeSOM : Bernoulli on Self-Organizing Map. IJCNN (2007)
Catherine Recanati, Nicoleta Rogovschi, Younès Bennani
The structure of verbal sequences analyzed with unsupervised learning techniques CoRR (2007)