The rank A correspond to ERA rating, CORE (http://core.edu.au).
Peer-reviewed International Journals (Total: 11)
1. Sublime J., Grozavu N., Matei B.: "Topological Virtual Point Augmentation applied to Supervised Clustering for distributed databases with imbalanced classes", Pattern Recognition journal, under review. (rank A)
2. Benlamine K., Falih I., Grozavu N., Matei B., Bennani Y.,: "Stability for Non- Negative Matrix Factorization". International Journal on Machine Learinng, under review. (rank A)
3. Parisa Rastin, Matei B., Guénaël Cabanes, Grozavu N., Bennani Y. (2019): Impact of Learners’ Quality and Diversity in Collaborative Clustering. J. Artif. Intell. Soft Comput. Res. 9(2): 149-165, 2019
4. Zouinina S., Rogovschi N., Grozavu N., Matei B., Ozawa S.: (2019) "t-Distributed Stochastic Neighbor Embedding Spectral Clustering using higher order approximations", in Australian Journal of Intelligent Information Processing Systems (AJIIPS), 2019. (rank A)
5. Sublime J., Matei B., Cabanes G., Grozavu N., Bennani Y., Cornuejols A. (2017), “Entropy Based Probabilistic Collaborative Clustering”, Pattern Recognition, 2017, The Journal of Pattern Recognition Society, Elsevier.
6. Sublime J., Grozavu N., Cabanes G., Bennani Y., Cornuejols A.: “From horizontal to vertical collaborative clustering using generative topographic maps”. Int. J. Hybrid Intell. Syst. 12(4): 245-256 (2015)
7. Ghassany M., Grozavu N., Bennani Y. (2012), “Collaborative Clustering Using Prototype Based Techniques”, in IJCIA, International Journal of Computational Intelligence and Applications, Vol. 11, No. 3, 1250017, 17 pages, Imperial College Press, DOI: 10.1142/S1469026812500174, (rank A) .
8. Labiod L., Grozavu N., Bennani Y. (2011), “Simultaneous Topological Categorical Data Clustering and Cluster Characterization”, in IJC, International Journal of Computing, ISSN 1727-6209.
9. Grozavu N., Bennani Y. (2010), “Topological Collaborative Clustering”,in Australian Journal of Intelligent Information Processing Systems (AJIIPS), 12(3), 2010. Machine Learning Applications (Part I). (rank A)
10. Labiod L., Grozavu N., Bennani Y. (2010), “Relational Topological Map”. International Journal of Computational Intelligence and Applications 9(4): 353-370 (2010), (rank A) .
11. Grozavu N., Bennani Y., Lebbah M. (2010), “Cluster-dependent features selection through a weighting learning paradigm”, in "Advances In Knowledge Discovery and Management", series "Studies in Computational Intelligence", 2010 Volume 292/2010 F. Guillet, G. Ritschard, D. Zighed and H. Briand (eds), EGC (best of volume), pp. 133-147, Springer. Invited paper.
Patents
1. Benhadda H., Bennani Y., Lebbah M., Grozavu N., (2009) SYSTEM FOR SEARCHING VISUAL INFORMATION, WO/2010/066774 - PCT/EP2009/066702
Book chapter
1. Lebbah M., Bennani Y., Benhadda H., Grozavu N., (2009), “Relational Analysis for Clustering Consensus”, Invited Book Chapter in Machine Learning, ISBN 978-953- 7619,IN-TECH Publisher.
Peer-reviewed International Conferences 1. Chevallier M., Rogovschi N., Boufares F., Grozavu N. and Clairmont C.: "Seeding initial population, in genetic algorithm for features selection", SoCPaR, december
2020, Online
2. Benlamine K., Bennani Y., Matei B., and GGrozavu N.: "Quantum Semi Non- Negative Matrix Factorization", SoCPaR, december 2020, Online
3. Benlamine K., Bennani Y., Grozavu N., Matei B.: "Quantum Collaborative Kmeans", IJCNN 2020: 1-7, Edinbourg - Scotland. (rank A)
4. Benlamine K., Grozavu N., Bennani Y., Matei B.: "Distance estimation for Quantum Prototypes based Clustering" in Proc. of ICONIP 2019, Sydney, Australia
5. Benlamine K., Grozavu N., Bennani Y., Matei B.: Collaborative Non-negative Matrix Factorization. ICANN (4) 2019: 655-666
6. Zouinina S., Grozavu N., Bennani Y., Abdelouahid Lyhyaoui, Rogovschi N.: A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering. ICANN
(3) 2018: 817-827
7. Falih I., Grozavu N., Kanawati R., Bennani Y., Matei B.: Collaborative Multi-View Attributed Networks Mining. IJCNN 2018: 1-8
8. Jérémie Sublime, Denis Maurel, Grozavu N., Matei B., Bennani Y.: Optimizing exchange confidence during collaborative clustering. IJCNN 2018: 1-8
9. Benlamine K., Grozavu N., Bennani Y., Rogovschi N., Haddadou K., Amamou A.: Domain Name Recommendation based on Neural Network. INNS Conference on Big Data 2018: 60-70
10. Falih I., Grozavu N., Kanawati R., Bennani Y.: Topological multi-view clustering for collaborative filtering. INNS Conference on Big Data 2018: 306-312
11. Zouinina S., Grozavu N., Bennani Y., Abdelouahid Lyhyaoui, Rogovschi N.: Efficient k-Anonymization through Constrained Collaborative Clustering. SSCI 2018: 405-411
12. Falih I., Grozavu N., Kanawati R., Bennani Y.: Community detection in Attributed Network. WWW (Companion Volume) 2018: 1299-1306
13. Rogovschi N., Kitazono J., Grozavu N., Omori T., Ozawa S.: t-Distributed stochastic neighbor embedding spectral clustering. IJCNN 2017: 1628-1632
14. Lachaud A., Grozavu N., Matei B., Bennani Y. (2017), “Collaborative Clustering between Different Topological Partitions”, IEEE International Joint Conference on Neural Network (IEEE IJCNN), Anchorage, Alaska, USA, May 14-19, 2017.
15. Falih I., Grozavu N., Kanawati R., Bennani Y. (2017), “ Multiplex Network Clustering based Collaborative Filtering ”, in Proc. ISI’17 : 61st International Statistical Institute World Statistics Congress, 16-21 July, Marrakech, Kingdom of Morocco.
16. Rogovschi N., Grozavu N., Bennani Y., Ozawa S. (2017), “ t-Distributed Stochastic
Neighbor Embedding based Self Organizing Maps ”, in Proc. ISI’17 : 61st International Statistical InstituteWorld Statistics Congress, 16-21 July, Marrakech, Kingdom of Morocco.
17. Falih I., Grozavu N., Kanawati R., Bennani Y. (2017), “ ANCA: Attributed Network Clustering Algorithm ”, in Proc. Complex Networks’17, The 6th International Conference on Complex Networks and Their Applications, November 29 - December 01 2017, Lyon, France.
18. Chahdi H, Grozavu N., Mougenot I., Bennani Y. et Berti-Equille L.. Towards ontology reasoning for topological cluster labeling. 23rd International Conference on Neural Information Processing (ICONIP 2016), Kyoto, Japan, volume 9949 de Lecture Notes in Computer Science, pages 156–164, 2016.
19. Chahdi H, Grozavu N., Mougenot I., Berti-Equille L. et Bennani Y.. On the use of ontology as a priori knowledge into constrained clustering. IEEE International Conference on Data Science and Advanced Analytics (DSAA), Montreal, Canada,
2016
20. Rogovschi N, Grozavu N., Labiod L.: “Spectral Clustering Trough Topological Learning for Large Datasets”. ICONIP (2) 2015: 216-223 (rank A)
21. Falih I., Grozavu N., Kanawati R., Bennani Y.: “A Recommendation System Based on Unsupervised Topological Learning”. ICONIP (2) 2015: 224-232 (rank A)
22. Sublime J., Grozavu N., Bennani Y., Cornuejols A.: “Collaborative clustering with heterogeneous algorithms.” IJCNN 2015: 1-8 (rank A)
23. Grozavu N., Rogovschi N., Cabanes G., Troya-Galvis A., Gancarski P.: “VHR satellite image segmentation based on topological unsupervised learning”. MVA 2015: 543-546
24. Grozavu N., Cabanes G., Bennani Y.: “Diversity analysis in collaborative clustering”.
IJCNN 2014: 1754-1761 (rank A)
25. Rogovschi N., Grozavu N.: “Opinion retrieval through unsupervised topological learning”. IJCNN 2014: 3130-3134 (rank A)
26. Grozavu N., Bennani Y. (2013), “Structural memory based under-sampling for imbalanced distributions”,in Proc. ECDA, European Conference on Data Analysis, July 10 - 12, 2013 in Luxembourg.
27. Nikulin V., Rogovschi N., Grozavu N., (2013) “Incremental Learning from Several Different Microarrays”, in Proc. IJCNN, IEEEInternational Joint Conference on Neural Network, Dallas, TX- August 4-9, 2013. (rank A)
28. Ghassany M., Grozavu N., Bennani Y. (2013), “Collaborative Multi-View Clustering”,
in Proc. IJCNN, IEEEInternational Joint Conference on Neural Network, Dallas,
TX- August 4-9, 2013. (rank A)
29. Ghassany M., Grozavu N., Bennani Y. Collaborative generative topographic mapping. In Proceedings of the 19th International Conference On Neural Information Processing (ICONIP 2012), Part II, volume 7664 of Lecture Notes in Computer Science, pages 591-598, Doha, Qatar, nov 2012. Springer, (rank A) .
30. Grozavu N., Bennani Y., Labiod L. Feature space transformation for transfer learning. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2012), pages 2637-2642. IEEE, 2012, (rank A) .
31. Grozavu N., Bennani Y. (2011), “Simultaneous pattern and variable weighting during topological clustering”,in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP’11 : 18th International Conference on Neural Information Processing, p. 570-579, Nov 14-17, 2011, Shanghai, China, (rank A) .
32. Grozavu N., Ghassany M., Bennani Y. (2011), “Learning Confidence Exchange in Collaborative Clustering ”,in Proc. of IJCNN, IEEE International Joint Conference on Neural Network, San Jose, California, 2011, (rank A) .
33. Rogovschi N., Grozavu N., A Content-based Image Retrieval System Based on Unsupervised Topological Learning, in Proc. ICMIA’10 : IEEE International Conference on Data Mining and Intelligent Information Technology Applications, 2010, p.398-394, Seoul, Korea, 2010
34. Labiod L., Grozavu N., Bennani Y. (2010), “Relationship between the modularity criterion and the relational analysis”,in Proc. ICMIA’10 : IEEE International Conference on Data Mining and Intelligent Information Technology Applications, p.229-236, November 30 - December 2 , 2010, Seoul, Korea.
35. Grozavu N., Labiod L., Bennani Y. (2010), “Autonomous cluster characterization for categorical data”,in Proc.ICMLA’10,IEEE International Conference on Machine Learning and Applications, p. 607-613, Washington D.C., USA on December 12-14, 2010-USA.
36. Labiod L., Grozavu N., Bennani Y. (2010), “Clustering Categorical Data Using an Extended Modularity Measure”,inLNCS Springer of ICONIP’10 : 17th International Conference on Neural Information Processing, 22nd – 25th November 2010 in Sydney, Australia, (rank A) .
37. Grozavu N., Labiod L., Bennani Y. (2010), “Dimensionality reduction for binary data”,in Proc. ICNNAI’10,International Conference on Neural Network and Artificial Intelligence, pages 37-41, 1-4 June 2010 in Brest, Belarus.
38. Labiod L., Grozavu N., Bennani Y. (2010) “Topological organization for Categorical Data Clustering”, International Conference on Neural Networks and Artificial Intelligence, ICNNAI’10, pages 30-36, Brest, Belarus.
39. Labiod L., Grozavu N., Bennani Y. (2010) “Relational Topographic clustering (RTC)”, International Joint Conference on Neural Networks, IJCNN’10, Barcelona, Spain, 2010, (rank A) .
40. Labiod L., Grozavu N., Bennani Y. (2010), Clustering Categorical Data Using an Extended Modularity Measure, ICONIP 2010 : 17th International Conference on Neural Information Processing, p.310-320, 22nd – 25th November 2010 in Sydney,
Australia, (rank A) .
41. Grozavu N., Bennani Y. (2009), “A new competitive strategy for Self Organizing Map Learning”, Proceedings of the (ICMLA’09), International Conference on Machine Learning and Applications, p.689-692, 13-15 Dec. 2009, Miami Beach, Florida, USA.
42. Grozavu N., Bennani Y. (2009), “Voting Memory based Self-Organizing Map”, TopoLearn’09: International Workshop on Topological Learning, ISMIS’09, International Symposium on Methodologies for Intelligent Systems, Prague, September 14 - 17, 2009.
43. Grozavu N., Rogovschi N. (2009), “Mining Visual Data”, ICMCS09, October 1-4 2009, Chisinau, Moldavie.
44. Grozavu N., Bennani Y.,Lebbah M. (2009), “From variable weighting to cluster characterization in topographic unsupervised learning”,Proc. IJCNN ‘09, International Joint Conference on Neural Network, p.1005-1010, 14-19 June 2009, Atlanta, Georgia, USA, (rank A) .
Francophone Journals:
1. Labiod L., Grozavu N., Bennani Y. (2011), “Classification Relationnelle Topographique”, Numéro spécial de la Revue d’Intelligence Artificielle (RIA), V.25, n.3, Revue des Sciences et Technologies de l’Information, p.393-410, Editions Hermès Science., Invited paper.
2. Labiod L., Grozavu N., Bennani Y. (2011),Formulation Condorcéenne de la modularité; RNTI, Revue des Nouvelles Technologies de l’Information, (2011).
Most important oral communications
1. “Clustering using t-SNE method”, Kobe University, Kobe (JAPON), March 2016, Invited Talk
2. “Collaborative Clustering”, Kobe University, Kobe (JAPON), Mai 2015, Invited Talk
3. “Topological Unsupervised Clustering”, Vyatka State University, Kirov (Russia), Invited Talk
4. “Unuspervised Collaborative Clustering and Images processing”, LILU, Technical University of Moldova, 2011, Chisinau, Moldavie, Invited talk
5. “Apprentissage topologique non-supervisé pour la recherche d’informations visuelles”, séminaire Image, ENSICAEN, 29 avril 2010, Caen, France
6. “Apprentissage non-supervisé et la sélection des variables”, Université Paris 6, 2010
7. “Caractérisation automatique des groupes”, ISIR - Institut des Systèmes Intelligents et de Robotique, 2010
8. “Unsupervised cluster characterization”, scientific talk, Washington University in St. Louis, USA, juin 2009, Invited talk
9. “Pondération locale des observations dans un cadre non-supervisé”, 2009, Université Paris 13