dr hab. Krzysztof Domino

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Orcid ID: 

0000-0001-7386-5441

Stanowisko: 

profesor instytutu
Zespół badawczy

Pokój: 

110

Informacje: 

Moje profile na serwerach sieciowych

1. https://orcid.org/0000-0001-7386-5441

2. https://www.scopus.com/authid/detail.uri?authorId=36008228300

3. http://www.researcherid.com/rid/P-3472-2016

4. https://publons.com/author/1371223/krzysztof-a-domino#profile

5. https://github.com/kdomino

6. https://mathscinet.ams.org/mathscinet/MRAuthorID/1030802

7. https://www.researchgate.net/profile/Krzysztof_Domino

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Publikacje
Biblio RSS

2020

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

2019

2. Głomb, P., K. Domino, M. Romaszewski, and M. Cholewa, "Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images", PP-RAI'2019, Wrocław, Poland, Wroclaw University of Science and Technology, 2019.
3. Domino, K., and P. Gawron, "An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams", International Journal of Applied Mathematics and Computer Science, vol. 29, issue 1, pp. 206, 2019.
4. Domino, M., K. Domino, and Z. Gajewski, "An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy", Biosystems, vol. 175, 11/2018, 2019.
5. Domino, K., Selected Methods for non-Gaussian Data Analysis, Gliwice, IITiS PAN, 2019.
6. Domino, M., K. Domino, B. Pawlinski, M. Sady, M. Gajewska, and Z. Gajewski, "Computational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus", Experimental Physiology, vol. 104, issue 3, 01/2019.
7. Domino, M., K. Domino, J. Tomasz, B. Pawlinski, and Z. Gajewski, "The hierarchy of the features of uterine myoelectrical activity during estrus cycle in sows", 52nd Annual Conference of Physiology and Pathology of Reproduction, vol. 54, Gottingen, GERMANY , WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, pp. p. 26, 02/2019.
8. Weber, P., P. Bełdowski, K. Domino, and A. Gadomski, "Changes of Conformation in Albumin Protein with Temperature", Preprints, pp. 2019080092, 08/2019.
9. Tomaka, A A., L. Luchowski, D. Pojda, M. Tarnawski, and K. Domino, "The dynamics of the stomatognathic system from 4D multimodal data", In A.Gadomski (ed.): Multiscale Locomotion: Its Active-Matter Addressing Physical Principles, Bydgoszcz, UTP University of Science & Technology, 2019.
10. Kruszewska, N., P. Bełdowski, K. Domino, and K. D. Lambert, "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, Bydgoszcz, UTP University of Science & Technology, 2019.
11. Domino, K., D. Bełdowski, A. Mazurkiewicz, J. Musiał, M. Słomion, and R. Dobosz, "Analysis of Protein Intramolecular and Solvent Bonding on Example of Major Synovial Fluid Component", Preprints 2019, 2019110339, 11/2019.

2018

12. Domino, K., A. Glos, M. Ostaszewski, Ł. Pawela, and P. Sadowski, "Properties of quantum stochastic walks from the asymptotic scaling exponent", Quantum Information and Computation, vol. 18, issue 3&4, 2018.
13. Domino, K., P. Gawron, and Ł. Pawela, "Efficient computation of higher order cumulant tensors", SIAM J. SCI. COMPUT., vol. 40, issue 3, pp. A1610, 2018.
14. Domino, K., and A. Glos, "Introducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas", arXiv:1803.07813, 2018.
15. Blachowicz, T., V. Andreychouk, and K. Domino, "Random walk analysis of cave maps for exemplary gypsum caves- mazes of Western Ukraine", Landform Analysis , vol. 36, 06/2018.
16. Głomb, P., M. Romaszewski, M. Cholewa, and K. Domino, "Application of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns", Forensic Science International, vol. 290, 07/2018.
17. Głomb, P., K. Domino, M. Romaszewski, and M. Cholewa, "Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images", arXiv:1808.03513v1, 08/2018.

2017

18. Domino, K., "The use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios", Physica A: Statistical Mechanics and its Applications, vol. 467, 10/2016, 2017.
19. Domino, K., A. Glos, and M. Ostaszewski, "Superdiffusive quantum stochastic walk definable on arbitrary directed graph", Quantum Information & Computation, vol. 17, issue 11&12, 2017.

2016

20. Blachowicz, T., A. Ehrmann, and K. Domino, "Statistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions", Physica A: Statistical Mechanics and its Applications, vol. 452, pp. 167 - 177, 2016.
21. Ehrmann, A., S. Komraus, T. Blachowicz, K. Domino, MK. Nees, PJ. Jakobs, H. Leiste, M. Mathes, and M. Schaarschmidt, "Pseudo exchange bias due to rotational anisotropy", Journal of Magnetism and Magnetic Materials, vol. 412, pp. 7–10, 2016.

2015

22. Domino, K., and T. Błachowicz, "The use of copula functions for modeling the risk of investment in shares traded on world stock exchanges", Physica A, vol. 424, pp. 142–151, 01/2015.
23. Ehrmann, A., T. Błachowicz, K. Domino, S. Aumann, M. O. Weber, and H. Zghidi, "Examination of hairiness changes due to washing in knitted fabrics using a random walk approach", Textile Research Journal, vol. 85 (20), 2015.
24. Zghidi, H., M. Walczak, T. Blachowicz, K. Domino, and A. Ehrmann, "Image Processing and Analysis of Textile Fibers by Virtual Random Walk", Proceedings of the Federated Conference on Computer Science and Information Systems, vol. 5, pp. 717–720, 2015.
25. Domino, K., P. Głomb, and Z. Łaskarzewski, "Classification of LPG clients using the Hurst exponent and the correlation coeficient", Theoretical and Applied Informatics, vol. 27, issue 1, pp. 13–24, 2015.

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