[1]	K. Usevich and I. Markovsky. Variable projection methods for approximate (greatest) common divisor computations. Theoretical Computer Science, 2016. [ bib \| pdf \| http \| Abstract ]
[2]	I. Markovsky. On the most powerful unfalsified model for data with missing values. Systems & Control Letters, 2016. [ bib \| DOI \| pdf \| software \| Abstract ]
[3]	I. Markovsky. Comparison of adaptive and model-free methods for dynamic measurement. IEEE Signal Proc. Letters, 22(8):1094-1097, 2015. [ bib \| DOI \| pdf \| software \| Abstract ]
[4]	I. Markovsky and R. Pintelon. Identification of linear time-invariant systems from multiple experiments. IEEE Trans. Signal Process., 63(13):3549-3554, 2015. [ bib \| DOI \| pdf \| Abstract ]
[5]	K. Usevich and I. Markovsky. Adjusted least squares fitting of algebraic hypersurfaces. Linear Algebra Appl., 2015. [ bib \| DOI \| pdf \| Abstract ]
[6]	I. Markovsky. An application of system identification in metrology. Control Engineering Practice, 43:85-93, 2015. [ bib \| DOI \| pdf \| software \| Abstract ]
[7]	N. Golyandina, A. Korobeynikov, A. Shlemov, and K. Usevich. Multivariate and 2D extensions of singular spectrum analysis with the Rssa Package. Journal of Statistical Software, 67(2), 2015. [ bib \| DOI \| Abstract ]
[8]	P. Dreesen, M. Ishteva, and J. Schoukens. Decoupling multivariate polynomials using first-order information and tensor decompositions. SIAM J. Matrix Anal. Appl., 36(2):864-879, 2015. [ bib \| DOI \| pdf ]
[9]	K. Usevich and I. Markovsky. Variable projection for affinely structured low-rank approximation in weighted 2-norms. J. Comput. Appl. Math., 272:430-448, 2014. [ bib \| DOI \| pdf \| software \| http \| Abstract ]
[10]	I. Markovsky and K. Usevich. Software for weighted structured low-rank approximation. J. Comput. Appl. Math., 256:278-292, 2014. [ bib \| DOI \| pdf \| software \| .html \| Abstract ]
[11]	I. Markovsky. Recent progress on variable projection methods for structured low-rank approximation. Signal Processing, 96PB:406-419, 2014. [ bib \| DOI \| pdf \| software \| .html \| Abstract ]
[12]	K. Usevich and I. Markovsky. Optimization on a Grassmann manifold with application to system identification. Automatica, 50:1656-1662, 2014. [ bib \| DOI \| pdf \| software \| .html \| Abstract ]
[13]	I. Markovsky, J. Goos, K. Usevich, and R. Pintelon. Realization and identification of autonomous linear periodically time-varying systems. Automatica, 50:1632-1640, 2014. [ bib \| DOI \| pdf \| software \| Abstract ]
[14]	M. Ishteva, K. Usevich, and I. Markovsky. Factorization approach to structured low-rank approximation with applications. SIAM J. Matrix Anal. Appl., 35(3):1180-1204, 2014. [ bib \| DOI \| pdf \| software \| Abstract ]
[15]	S. Rhode, K. Usevich, I. Markovsky, and F. Gauterin. A recursive restricted total least-squares algorithm. IEEE Trans. Signal Process., 62(21):5652-5662, 2014. [ bib \| DOI \| pdf \| software \| Abstract ]
[16]	S. De Marchi and K. Usevich. On certain multivariate Vandermonde determinants whose variables separate. Linear Algebra and Its Applications, 449:17-27, 2014. [ bib \| DOI \| Abstract ]
[17]	R. Kannan, M. Ishteva, and H. Park. Bounded matrix factorization for recommender system. Knowledge and Information Systems, 39(3):491-511, 2014. [ bib \| DOI \| pdf \| http \| Abstract ]
[18]	I. Markovsky and K. Usevich. Structured low-rank approximation with missing data. SIAM J. Matrix Anal. Appl., 34(2):814-830, 2013. [ bib \| DOI \| pdf \| software \| .html \| Abstract ]
[19]	I. Markovsky. A software package for system identification in the behavioral setting. Control Engineering Practice, 21(10):1422-1436, 2013. [ bib \| DOI \| pdf \| software \| .html \| Abstract ]
[20]	M. Ishteva, P.-A. Absil, and P. Van Dooren. Jacobi algorithm for the best low multilinear rank approximation of symmetric tensors. SIAM J. Matrix Anal. Appl., 34(2):651-672, 2013. [ bib \| DOI \| pdf \| http \| Abstract ]
[21]	F. Le, I. Markovsky, C. Freeman, and E. Rogers. Recursive identification of Hammerstein systems with application to electrically stimulated muscle. Control Engineering Practice, 20(4):386-396, 2012. [ bib \| DOI \| pdf \| Abstract ]
[22]	I. Markovsky. On the complex least squares problem with constrained phase. SIAM J. Matrix Anal. Appl., 32(3):987-992, 2011. [ bib \| DOI \| pdf \| software \| Abstract ]

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