Nicoleta Rogovschi

41 papers A 2B 9C 2Misc 1Journal 9Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MM-HGNN: Multimodal Representation Learning Heterogeneous Graph Neural Network. Int. J. Comput. Intell. Syst. Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi
2025	B	`conf`	Multimodal Graph Learning and Sequential Modeling for Video Recommendation. IJCNN Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi
2025	J	`jnl`	Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation. IEEE Access Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi
2023	C	`conf`	Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems. ICMLA Khalil Bachiri, Faouzi Boufarès, Maria Malek, Nicoleta Rogovschi, Ali Yahyaouy
2022	—	`conf`	Trade Between Population Size and Mutation Rate for GAAM (Genetic Algorithm with Aggressive Mutation) for Feature Selection. AIAI (1) Marc Chevallier, Nistor Grozavu, Faouzi Boufarès, Nicoleta Rogovschi, Charly Clairmont
2021	J	`jnl`	Data Anonymization through Collaborative Multi-view Microaggregation. J. Intell. Syst. Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui
2021	—	`conf`	Near duplicate column identification: a machine learning approach. SSCI Marc Chevallier, Faouzi Boufarès, Nistor Grozavu, Nicoleta Rogovschi, Charly Clairmont
2020	—	`conf`	A Two-Levels Data Anonymization Approach. AIAI (1) Sarah Zouinina, Younès Bennani, Nicoleta Rogovschi, Abdelouahid Lyhyaoui
2020	—	`conf`	Seeding Initial Population, in Genetic Algorithm for Features Selection. SoCPaR Marc Chevallier, Nicoleta Rogovschi, Faouzi Boufarès, Nistor Grozavu, Charly Clairmont
2019	J	`jnl`	Preserving Utility during Attribute-oriented Data Anonymization Process. Aust. J. Intell. Inf. Process. Syst. Sarah Zouinina, Younès Bennani, Maha Ben-Fares, Nicoleta Rogovschi, Abdelouahid Lyhyaoui
2019	J	`jnl`	t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations. Aust. J. Intell. Inf. Process. Syst. Nicoleta Rogovschi, Sarah Zouinina, Basarab Matei, Issam Falih, Nistor Grozavu, Seiichi Ozawa
2018	—	`conf`	A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering. ICANN (3) Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi
2018	—	`conf`	Domain Name Recommendation based on Neural Network. INNS Conference on Big Data Kaoutar Benlamine, Nistor Grozavu, Younès Bennani, Nicoleta Rogovschi, Kamel Haddadou, Ahmed Amamou
2018	—	`conf`	Efficient k-Anonymization through Constrained Collaborative Clustering. SSCI Sarah Zouinina, Nistor Grozavu, Younès Bennani, Abdelouahid Lyhyaoui, Nicoleta Rogovschi
2017	B	`conf`	t-Distributed stochastic neighbor embedding spectral clustering. IJCNN Nicoleta Rogovschi, Jun Kitazono, Nistor Grozavu, Toshiaki Omori, Seiichi Ozawa
2016	J	`jnl`	A dynamic collaborative filtering system via a weighted clustering approach. Neurocomputing Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	B	`conf`	Automated topological co-clustering using fuzzy features partition. IJCNN Nistor Grozavu, Guénaël Cabanes, Hatim Chahdi, Nicoleta Rogovschi
2016	A	`conf`	Model-based Co-clustering for High Dimensional Sparse Data. AISTATS Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	A	`conf`	Stochastic Co-clustering for Document-Term Data. SDM Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2016	—	`conf`	t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. ICONIP (3) Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa
2015	—	`conf`	An Efficient Incremental Collaborative Filtering System. ICONIP (3) Aghiles Salah, Nicoleta Rogovschi, Mohamed Nadif
2015	—	`conf`	Pour une meilleure exploitation de la classification croisée dans les systèmes de filtrage collaboratif. EGC Aghiles Salah, Nicoleta Rogovschi, François Role, Mohamed Nadif
2015	—	`conf`	Spectral Clustering Trough Topological Learning for Large Datasets. ICONIP (2) Nicoleta Rogovschi, Nistor Grozavu, Lazhar Labiod
2015	Misc	`conf`	VHR satellite image segmentation based on topological unsupervised learning. MVA Nistor Grozavu, Nicoleta Rogovschi, Guénaël Cabanes, Andres Troya-Galvis, Pierre Gançarski
2014	B	`conf`	Opinion retrieval through unsupervised topological learning. IJCNN Nicoleta Rogovschi, Nistor Grozavu
2013	B	`conf`	A topographical nonnegative matrix factorization algorithm. IJCNN Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2013	B	`conf`	Incremental learning from several different microarrays. IJCNN Vladimir Nikulin, Nicoleta Rogovschi, Nistor Grozavu
2012	B	`conf`	A spectral algorithm for topographical Co-clustering. IJCNN Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2012	—	`conf`	Classification topologique probabiliste pour des données catégorielles. EGC Nicoleta Rogovschi, Mohamed Nadif
2012	—	`conf`	Un Algorithme Spectral pour le Co-clustering Topographique. EGC Nicoleta Rogovschi, Lazhar Labiod, Mohamed Nadif
2011	J	`jnl`	A Self-Organizing Map for mixed continuous and Categorical Data. Int. J. Comput. Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
2011	—	`ch.`	Modèles de mélanges topologiques pour la classification de données catégorielles et mixtes. Fouille de données complexes Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
2011	—	`conf`	Pondération et classification simultanée de données binaires et continues. EGC Nicoleta Rogovschi, Mustapha Lebbah, Nistor Grozavu
2011	B	`conf`	Probabilistic Self-Organizing Maps for multivariate sequences. IJCNN Rakia Jaziri, Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani
2011	—	`conf`	Weighted Topological Clustering for Categorical Data. ICONIP (1) Nicoleta Rogovschi, Mohamed Nadif
2008	J	`jnl`	A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering. Int. J. Comput. Intell. Appl. Mustapha Lebbah, Younès Bennani, Nicoleta Rogovschi
2008	C	`conf`	Probabilistic Mixed Topological Map for Categorical and Continuous Data. ICMLA Nicoleta Rogovschi, Mustapha Lebbah, Younès Bennani
2007	B	`conf`	BeSOM : Bernoulli on Self-Organizing Map. IJCNN Mustapha Lebbah, Nicoleta Rogovschi, Younès Bennani
2007	—	`conf`	Enchaînements verbaux - étude sur le temps et l'aspect utilisant des techniques d'apprentissage non supervisé. TALN (Articles longs) Catherine Recanati, Nicoleta Rogovschi
2007	—	`conf`	Hybrid Unsupervised Learning to Uncover Discourse Structure. LTC Catherine Recanati, Nicoleta Rogovschi, Younès Bennani
2007	J	`jnl`	The structure of verbal sequences analyzed with unsupervised learning techniques CoRR Catherine Recanati, Nicoleta Rogovschi, Younès Bennani