Błachowicz T, Böhm T, Grzybowski J, Domino K, Ehrmann A.  2020.  Analysis of AFM images of Nanofi bre Mats for Automated Processing. Tekstilec. 63(2)

Weber P, Bełdowski P, Domino K, Ledziński D, Gadomski A.  2020.  Changes of Conformation in Albumin Protein with Temperature. Entropy. 405(22(4))

Domino K.  2020.  Multivariate cumulants in outlier detection for financial data analysis. arXiv:1804.00541.

Domino K, Gawron P.  2019.  An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams. International Journal of Applied Mathematics and Computer Science. 29(1):206.

Domino K, Bełdowski D, Mazurkiewicz A, Musiał J, Słomion M, Dobosz R.  2019.  Analysis of Protein Intramolecular and Solvent Bonding on Example of Major Synovial Fluid Component. Preprints 2019, 2019110339.

Domino M, Domino K, Gajewski Z.  2019.  An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy. Biosystems. 175

Głomb P, Domino K, Romaszewski M, Cholewa M.  2019.  Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. PP-RAI'2019.

Domino M, Domino K, Pawlinski B, Sady M, Gajewska M, Gajewski Z.  2019.  Computational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus. Experimental Physiology. 104(3)

Tomaka A A, Luchowski L, Pojda D, Tarnawski M, Domino K.  2019.  The dynamics of the stomatognathic system from 4D multimodal data. In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles.

Domino M, Domino K, Tomasz J, Pawlinski B, Gajewski Z.  2019.  The hierarchy of the features of uterine myoelectrical activity during estrus cycle in sows. 52nd Annual Conference of Physiology and Pathology of Reproduction. 54:p.26.

Kruszewska N., Bełdowski P, Domino K, Lambert KD.  2019.  Investigating conformation changes and network formation of mucin in joints functioning in human locomotion. In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles.

Domino K.  2019.  Selected Methods for non-Gaussian Data Analysis.

Głomb P, Romaszewski M, Cholewa M, Domino K.  2018.  Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns. Forensic Science International. 290

Głomb P, Domino K, Romaszewski M, Cholewa M.  2018.  Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images. arXiv:1808.03513v1.

Domino K, Gawron P, Pawela Ł.  2018.  Efficient computation of higher order cumulant tensors. SIAM J. SCI. COMPUT.. 40(3):A1610.

Domino K, Glos A.  2018.  Introducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas. arXiv:1803.07813.

Domino K, Glos A, Ostaszewski M, Pawela Ł, Sadowski P.  2018.  Properties of quantum stochastic walks from the asymptotic scaling exponent. Quantum Information and Computation. 18(3&4)

Blachowicz T, Andreychouk V, Domino K.  2018.  Random walk analysis of cave maps for exemplary gypsum caves- mazes of Western Ukraine. Landform Analysis . 36

Domino K, Glos A, Ostaszewski M.  2017.  Superdiffusive quantum stochastic walk definable on arbitrary directed graph. Quantum Information & Computation. 17(11&12)

Domino K.  2017.  The use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios. Physica A: Statistical Mechanics and its Applications. 467

Ehrmann A, Komraus S, Blachowicz T, Domino K, Nees MK, Jakobs PJ, Leiste H, Mathes M, Schaarschmidt M.  2016.  Pseudo exchange bias due to rotational anisotropy. Journal of Magnetism and Magnetic Materials. 412:7–10.

Blachowicz T, Ehrmann A, Domino K.  2016.  Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions. Physica A: Statistical Mechanics and its Applications. 452:167-177.

Domino K, Głomb P, Łaskarzewski Z..  2015.  Classification of LPG clients using the Hurst exponent and the correlation coeficient. Theoretical and Applied Informatics. 27(1):13–24.

Ehrmann A, Błachowicz T, Domino K, Aumann S, Weber MO, Zghidi H.  2015.  Examination of hairiness changes due to washing in knitted fabrics using a random walk approach. Textile Research Journal. 85 (20)

Zghidi H, Walczak M, Blachowicz T, Domino K, Ehrmann A.  2015.  Image Processing and Analysis of Textile Fibers by Virtual Random Walk. Proceedings of the Federated Conference on Computer Science and Information Systems. 5:717–720.