Articles dans des revues internationales

A23 K. Benlamine, Y. Bennani, B. Matei, N. Grozavu, I. Falih, Collaborative learning to improve the non uniqueness of
NMF, IJCIA, International Journal of Computational Intelligence and Applications, 2021.

A22 J. Sublime, G. Cabanes, B. Matei, Study on the influence of diversity and quality in entropy based collaborative
clustering, Entropy Vol. 21, 2019

A21 P. Rastin, G. Cabanes, B. Matei, Y. Bennani, JM. Marty, A new sparse representation learning of complex data :
Application to dynamic clustering of web navigation, Pattern Recognition Vol. 91, 2019

A20 P. Rastin, B. Matei, G. Cabanes, N. Grozavu, Y. Bennani, Impact of learners’ quality and diversity in collaborative
clustering, Journal of Artificial Intelligence and Soft Computing Research, 2019

A19 N Rogovschi, S Zouinina, B. Matei, I Falih, N. Grozavu, S Ozawa, t-Distributed Stochastic Neighbor Embedding
Spectral Clustering using higher order approximations, Aust. J. Intell. Inf. Process. Syst., 2019

A18 FEB. Bouazza, Y. Bennani, M. El Hamri, G. Cabanes, B. Matei, A Touzani, Multi-view Clustering through Optimal
Transport, Aust. J. Intell. Inf. Process. Syst., 2019

A17 BC. Thai, A. Mokraoui, B. Matei, Contrast enhancement and details preservation of tone mapped high dynamic
range images, Journal of Visual Communication and Image Representation, 2019

A16 E. Agora, J. Antezana, C. Cabrelli, B. Matei, Existence of quasicrystals and sampling and interpolation in LCA
groups, Transactions of the American Mathematical Society, 2019.

A15 J. Sublime, B. Matei, G. Cabanes, N. Grozavu, Y. Bennani, A. Cornuéjols, Entropy Based Probabilistic Clustering,
Pattern Recognition, 2017.

A14 B. Matei, Exact reconstruction of a class of nonnegative measures using model sets, Asymptotic Anal. 97, No. 3-4,
291-299, 2016.

A13 B. Matei, S. Meignen, Nonlinear and Nonseparable Bidimensional Multiscales Representation Based on Cell-Average
Representation, IEEE Transactions on Image Processing, 2015.

A12 B. Matei, Y. Meyer, J. Ortega-Cerdà, Stable sampling and Fourier Multipliers, Publicacions Matemètiques Publ.
vol. 58 , no. 2, 341-351, 2014

A11 B. Matei, S. Meignen, A new Optimization Based Approach to the Empirical Mode Decomposition, Annals of the
university of Bucharest, vol. 4, p. 129-139, 2013.

A10 B. Matei, S. Meignen, Nonlinear Cell-Average Multiscales Signal Representations : Application to Signal Denoising,
Signal Processing, vol. 92, no. 11, pp. 2738-2746, 2012.

A9 B. Matei, S. Meignen, A. Zakharova, Smoothness Characterization and Stability of Nonlinear and Non-Separable
Multiscales Representations, Journal of Approximation Theory, vol. 163, no. 11, pp. 1707-1728, 2011.

A8 B. Matei, S. Meignen, A New Formalism for Non-Linear and Non-Separable Multiscales Representation, Numerical
Algorithms, vol. 60, no. 3, pp. 391-418, 2012.

A7 B. Matei, S. Meignen, A. Zakharova, Smoothness of non-linear and non-separable subdivision schemes, Asymptotic
Anal. 74, No. 3-4, 229-247,2011.

A6 B. Matei, Y. Meyer, Quasicrystals are sets of stable sampling, Complex Variables and Elliptic Equations 55, 947-964,
2010.

A5 B. Matei, Y. Meyer, A variant of compressed sensing, Rev. Mat. Iberoamericana Volume 25, pp. 669-692, 2009.

A4 F. Arandiga, A. Cohen, R. Donat, B. Matei, Edge detection insensitive to changes of illumination in image Journal
Image and Vision Computing, Volume 28 Issue 4, April, 2010.

A3 F. Arandiga, A. Cohen, R. Donat, N. Dyn, B. Matei, Approximation of piecewise smooth images by edge-adapted
techniques. Appl. Comput. Harmon. Anal.vol. 24, pp. 225-250, 2008.

A2 B. Matei, Smoothness Characterization and Stability in Nonlinear Multiresolution Framework - Theoretical Results,
Asymptotic Analysis, vol. 46, pp. 277-309, 2005.

A1 A. Cohen, N. Dyn, B. Matei, Quasilinear Subdivision Scheme with Applications to ENO interpolation, Appl. Comput.
Harmon. Anal. 15, pp. 89-116, 2003.