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ORCIDNicoleta Rogovschi
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2020 – today
- 2023
[c30]Khalil Bachiri
, Faouzi Boufarès, Maria Malek, Nicoleta Rogovschi, Ali Yahyaouy:
Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems. ICMLA 2023: 1287-1294- 2022
- [c29]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 - 2021
- [j6]Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui:
Data Anonymization through Collaborative Multi-view Microaggregation. J. Intell. Syst. 30(1): 327-345 (2021) - [c28]Marc Chevallier, Faouzi Boufarès, Nistor Grozavu, Nicoleta Rogovschi, Charly Clairmont:
Near duplicate column identification: a machine learning approach. SSCI 2021: 1-7 - 2020
- [c27]Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui:
A Two-Levels Data Anonymization Approach. AIAI (1) 2020: 85-95 - [c26]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
- [j5]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): 25-35 (2019) - [j4]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) - 2018
- [c25]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 - [c24]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 - [c23]Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi:
Efficient k-Anonymization through Constrained Collaborative Clustering. SSCI 2018: 405-411 - 2017
- [c22]Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa:
t-Distributed stochastic neighbor embedding spectral clustering. IJCNN 2017: 1628-1632 - 2016
- [j3]Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif:
A dynamic collaborative filtering system via a weighted clustering approach. Neurocomputing 175: 206-215 (2016) - [c21]Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif:
Model-based Co-clustering for High Dimensional Sparse Data. AISTATS 2016: 866-874 - [c20]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 - [c19]Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi:
Automated topological co-clustering using fuzzy features partition. IJCNN 2016: 2638-2645 - [c18]Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif:
Stochastic Co-clustering for Document-Term Data. SDM 2016: 306-314 - 2015
- [c17]Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif:
Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. EGC 2015: 347-358 - [c16]Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod:
Spectral Clustering Trough Topological Learning for Large Datasets. ICONIP (2) 2015: 216-223 - [c15]Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif:
An Efficient Incremental Collaborative Filtering System. ICONIP (3) 2015: 375-383 - [c14]Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski:
VHR satellite image segmentation based on topological unsupervised learning. MVA 2015: 543-546 - 2014
- [c13]Nicoleta Rogovschi, Nistor Grozavu:
Opinion retrieval through unsupervised topological learning. IJCNN 2014: 3130-3134 - 2013
- [c12]Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu:
Incremental learning from several different microarrays. IJCNN 2013: 1-7 - [c11]Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif:
A topographical nonnegative matrix factorization algorithm. IJCNN 2013: 1-6 - 2012
- [c10]Nicoleta Rogovschi, Mohamed Nadif:
Classification topologique probabiliste pour des données catégorielles. EGC 2012: 179-188 - [c9]Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif:
Un Algorithme Spectral pour le Co-clustering Topographique. EGC 2012: 579-580 - [c8]Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif:
A spectral algorithm for topographical Co-clustering. IJCNN 2012: 1-6 - 2011
- [j2]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
A Self-Organizing Map for mixed continuous and Categorical Data. Int. J. Comput. 10(1): 24-32 (2011) - [c7]Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu:
Pondération et classification simultanée de données binaires et continues. EGC 2011: 65-70 - [c6]Nicoleta Rogovschi, Mohamed Nadif:
Weighted Topological Clustering for Categorical Data. ICONIP (1) 2011: 599-607 - [c5]Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
Probabilistic Self-Organizing Maps for multivariate sequences. IJCNN 2011: 851-858 - [p1]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. Fouille de données complexes 2011: 53-80
2000 – 2009
- 2008
- [j1]Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi:
A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. Int. J. Comput. Intell. Appl. 7(4): 363-383 (2008) - [c4]Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani:
Probabilistic Mixed Topological Map for Categorical and Continuous Data. ICMLA 2008: 224-231 - 2007
- [c3]Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani:
BeSOM : Bernoulli on Self-Organizing Map. IJCNN 2007: 631-636 - [c2]Catherine Recanati, Nicoleta Rogovschi, Younès Bennani:
Hybrid Unsupervised Learning to Uncover Discourse Structure. LTC 2007: 258-269 - [c1]Catherine Recanati, Nicoleta Rogovschi:
Enchaînements verbaux - étude sur le temps et l'aspect utilisant des techniques d'apprentissage non supervisé. TALN (Articles longs) 2007: 355-364 - [i1]Catherine Recanati, Nicoleta Rogovschi, Younès Bennani:
The structure of verbal sequences analyzed with unsupervised learning techniques. CoRR abs/0710.2446 (2007)
Coauthor Index
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