Nicoleta Rogovschi

发表

Incremental learning from several different microarrays

Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Stochastic Co-clustering for Document-Term Data

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, SDM.

Automated topological co-clustering using fuzzy features partition

Nicoleta Rogovschi, Nistor Grozavu, Hatim Chahdi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Younès Bennani, Nicoleta Rogovschi, Nistor Grozavu, 2018, ICANN.

t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations

Seiichi Ozawa, Basarab Matei, Nicoleta Rogovschi, 2019, Aust. J. Intell. Inf. Process. Syst..

Efficient k-Anonymization through Constrained Collaborative Clustering

Younès Bennani, Nicoleta Rogovschi, Nistor Grozavu, 2018, IEEE Symposium Series on Computational Intelligence.

A spectral algorithm for topographical Co-clustering

Mohamed Nadif, Nicoleta Rogovschi, Lazhar Labiod, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A SELF-ORGANIZING MAP FOR MIXED CONTINUOUS AND CATEGORICAL DATA

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2011 .

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

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2015, EGC.

Pondération et classification simultanée de données binaires et continues

Mustapha Lebbah, Nicoleta Rogovschi, Nistor Grozavu, 2011, EGC.

Domain Name Recommendation based on Neural Network

Younès Bennani, Ahmed Amamou, Kamel Haddadou, 2018, INNS Conference on Big Data.

BeSOM :Bernoullion Self-OrganizingMap

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2007 .

Weighted Topological Clustering for Categorical Data

Mohamed Nadif, Nicoleta Rogovschi, 2011, ICONIP.

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

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2011, Fouille de données complexes.

Spectral Clustering Trough Topological Learning for Large Datasets

Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod, 2015, ICONIP.

A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2008, Int. J. Comput. Intell. Appl..

Preserving Utility during Attribute-oriented Data Anonymization Process

Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui, 2019, Aust. J. Intell. Inf. Process. Syst..

An Efficient Incremental Collaborative Filtering System

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2015, ICONIP.

A Two-Levels Data Anonymization Approach

Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui, 2020, AIAI.

t-Distributed stochastic neighbor embedding spectral clustering

Seiichi Ozawa, Toshiaki Omori, Nicoleta Rogovschi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A topographical nonnegative matrix factorization algorithm

Mohamed Nadif, Nicoleta Rogovschi, Lazhar Labiod, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A content-based image retrieval system based on unsupervised topological learning

Nicoleta Rogovschi, Nistor Grozavu, Nistor Grozavu, 2010, 2010 6th International Conference on Advanced Information Management and Service (IMS).

Probabilistic Mixed Topological Map for Categorical and Continuous Data

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

The structure of verbal sequences analyzed with unsupervised learning techniques pdf

Younès Bennani, Nicoleta Rogovschi, Catherine Recanati, 2007, ArXiv.

Sequencing of verbs - a study on tense and aspect using unsupervised learning

Younès Bennani, Nicoleta Rogovschi, Catherine Recanati, 2007 .

Classification topologique probabiliste pour des données catégorielles

Mohamed Nadif, Nicoleta Rogovschi, 2012, EGC.

Opinion retrieval through unsupervised topological learning

Nicoleta Rogovschi, Nistor Grozavu, Nistor Grozavu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom

Seiichi Ozawa, Toshiaki Omori, Nicoleta Rogovschi, 2016, ICONIP.

Apprentissage neuro-markovien pour la classification non supervisée de données structurées en séquences

Younès Bennani, Nicoleta Rogovschi, Catherine Recanati, 2007 .

BeSOM : Bernoulli on Self-Organizing Map

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2007, 2007 International Joint Conference on Neural Networks.

Un Algorithme Spectral pour le Co-clustering Topographique

Mohamed Nadif, Nicoleta Rogovschi, Lazhar Labiod, 2012, EGC.

A dynamic collaborative filtering system via a weighted clustering approach

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, Neurocomputing.

Data Anonymization through Collaborative Multi-view Microaggregation

Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui, 2020, J. Intell. Syst..

Hybrid Unsupervised Learning to Uncover Discourse Structure

Younès Bennani, Nicoleta Rogovschi, Catherine Recanati, 2007, LTC.

Probabilistic Self-Organizing Maps for multivariate sequences

Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi, 2011, The 2011 International Joint Conference on Neural Networks.

Model-based Co-clustering for High Dimensional Sparse Data

Mohamed Nadif, Aghiles Salah, Nicoleta Rogovschi, 2016, AISTATS.

VHR satellite image segmentation based on topological unsupervised learning

Pierre Gançarski, Nicoleta Rogovschi, Nistor Grozavu, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

Data Anonymization through Collaborative Multi-view Microaggregation

Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui, 2020, J. Intell. Syst..