Publications of Department of Theoretical Methods

Select year reporting publications:

Publications in 2022:
  • LIPTÁK, P.** – BANOVCIN, P. – ROSOĽANKA, R. – PROKOPIČ, M. – KOCAN, I. – ŽIAČIKOVÁ, I. – UHRIK, P. – GRENDÁR, Marián – HYRDEL, R. A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization. In PeerJ, 2022, art. no. e13124. (2021: 3.061 – IF, Q2 – JCR, 0.766 – SJR, Q1 – SJR). ISSN 2167-8359. Dostupné na: <a href="https://doi.org/10.7717/peerj.13124">https://doi.org/10.7717/peerj.13124</a> Typ: ADMA
  • STANCIAKOVA, L.** – DOBROTOVA, M. – HOLLY, P. – ZOLKOVA, J. – VADELOVA, L. – SKORNOVA, I. – IVANKOVA, J. – SAMOS, M. – BOLEK, T. – GRENDÁR, Marián – DANKO, J. – KUBISZ, P. – STASKO, J. How can secondary thromboprophylaxis in high-risk pregnant patients be improved? In Clinical and Applied Thrombosis/Hemostasis, 2022, vol. 27, p. 1-17. (2021: 3.512 – IF, Q3 – JCR, 0.758 – SJR, Q2 – SJR). ISSN 1076-0296. Dostupné na: <a href="https://doi.org/10.1177/10760296211070004">https://doi.org/10.1177/10760296211070004</a> Typ: ADCA
  • KRAKOVSKÁ, Anna**PÓCOŠ, ŠtefanMOJŽIŠOVÁ, KarolínaBEČKOVÁ, IvetaGUBÁŠ, Jakub Xaver. State space reconstruction techniques and the accuracy of prediction. In Communications in Nonlinear Science and Numerical Simulation, 2022, vol. 111, art. no. 106422. (2021: 4.186 – IF, Q1 – JCR, 1.146 – SJR, Q1 – SJR). ISSN 1007-5704. Dostupné na: <a href="https://doi.org/10.1016/j.cnsns.2022.106422">https://doi.org/10.1016/j.cnsns.2022.106422</a> Typ: ADCA
  • ROSIPAL, Roman**ROŠŤÁKOVÁ, Zuzana – TREJO, L.J. Tensor decomposition of human narrowband oscillatory brain activity in frequency, space and time. In Biological Psychology, 2022, vol. 169, art.no. 108287. (2021: 3.111 – IF, Q2 – JCR, 1.023 – SJR, Q1 – SJR). ISSN 0301-0511. Dostupné na: <a href="https://doi.org/10.1016/j.biopsycho.2022.108287">https://doi.org/10.1016/j.biopsycho.2022.108287</a> Typ: ADCA

    Citations:
    [1.2] ZAKRZEWSKI, S. – KLEPACZKA, T. – STASIAK, B. – WOJCIECHOWSKI, A. VR-oriented EEG signal classification of motor imagery tasks. In HUMAN TECHNOLOGY. ISSN 1795-6889, 2022, vol. 18, no. 1, p. 29-44., Registrované v: SCOPUS

  • ROŠŤÁKOVÁ, ZuzanaROSIPAL, Roman. Determination of the number of components in the PARAFAC model with a nonnegative tensor structure: A simulated EEG data study. In Neural Computing & Applications, 2022, vol. 34, p. 14793-14805. (2021: 5.102 – IF, Q2 – JCR, 1.072 – SJR, Q1 – SJR). ISSN 0941-0643. Dostupné na: <a href="https://doi.org/10.1007/s00521-022-07318-x">https://doi.org/10.1007/s00521-022-07318-x</a> Typ: ADCA

    Citations:
    [3.1] BAILEY, N.W. – BIABANI, M. – HILL, A.T. – MILJEVIC, A. – ROGASCH, N.C. – MCQUEEN, B. – MURPHY, O. – FITZGERALD, P.B. Introducing RELAX (the Reduction of Electroencephalographic Artifacts): A fully automated pre-processing pipeline for cleaning EEG data – Part 1: Algorithm and Application to Oscillations. In bioRxiv, 2022, https://doi.org/10.1101/2022.03.08.483548.

  • BAJLA, Ivan**TEPLAN, Michal. Yeast cell detection in color microscopic images using ROC-optimized decoloring and segmentation. In IET Image Processing, 2022, vol. 16, no. 2, p. 606-621. (2021: 1.773 – IF, Q3 – JCR, 0.536 – SJR, Q2 – SJR). ISSN 1751-9659. Dostupné na: <a href="https://doi.org/10.1049/ipr2.12376">https://doi.org/10.1049/ipr2.12376</a> Typ: ADCA
  • HAVELKA, D.** – ZHERNOV, I. – TEPLAN, Michal – LÁNSKÝ, Z. – CHAFAI, D. – CIFRA, M.**. Lab‑on‑chip microscope platform for electro‑manipulation of a dense microtubules network. In Scientific Reports, 2022, vol. 12, p. 2462. (2021: 4.996 – IF, Q2 – JCR, 1.005 – SJR, Q1 – SJR). ISSN 2045-2322. Dostupné na: <a href="https://doi.org/10.1038/s41598-022-06255-y">https://doi.org/10.1038/s41598-022-06255-y</a> Typ: ADCA
  • VU VIET, HoangTEPLAN, Michal. Impact of magnetic field on yeast cells monitored by impedance spectroscopy. In 2021 International Workshop on Impedance Spectroscopy (IWIS). – IEEE, 2021, p. 85-88. ISBN 978-1-6654-9472-4. Dostupné na: <a href="https://doi.org/10.1109/IWIS54661.2021.9711789">https://doi.org/10.1109/IWIS54661.2021.9711789</a> Typ: ADMB
  • JEZKOVÁ, P. – SKŘIČKOVÁ, J. – WIMMER, Gejza, ml. – ZELINKOVÁ, J. – ZDRÁHAL, Z. – LATTOVÁ, E.**. Differentiation of sialyl linkages using a combination of alkyl esterification and phenylhydrazine derivatization: Application for N‑glycan profiling in the sera of patients with lung cancer. In Analytical Chemistry, 2022, vol. 94, no. 18, p. 6736-6744. (2021: 8.008 – IF, Q1 – JCR, 1.791 – SJR, Q1 – SJR). ISSN 0003-2700. Dostupné na: <a href="https://doi.org/10.1021/acs.analchem.2c00105">https://doi.org/10.1021/acs.analchem.2c00105</a> Typ: ADCA
  • DEAK, B.** – EGGERT, T. – MAYR, A. – STANKEWITZ, A. – FILIPPOPULOS, F. – JAHN, P. – WITKOVSKÝ, Viktor – STRAUBE, A. – SCHULZ, E. Intrinsic network activity reflects the fluctuating experience of tonic pain. In Cerebral Cortex, 2022, vol. 32, no. 18, p. 4098–4109. (2021: 4.861 – IF, Q2 – JCR, 2.070 – SJR, Q1 – SJR). ISSN 1047-3211. Typ:
  • MAYR, A.** – JAHN, P.* – STANKEWITZ, A. – DEAK, B. – WINKLER, A. – WITKOVSKÝ, Viktor – EREN, O. – STRAUBE, A. – SCHULZ, E. Patients with chronic pain exhibit individually unique cortical signatures of pain encoding. In Human Brain Mapping, 2022, vol. 43, no. 5, p. 1676-1693. (2021: 5.399 – IF, Q1 – JCR, 1.719 – SJR, Q1 – SJR). ISSN 1065-9471. Dostupné na: <a href="https://doi.org/10.1002/hbm.25750">https://doi.org/10.1002/hbm.25750</a> Typ: ADCA

    Citations:
    [1.1] CHAE, Y. – PARK, H.J. – LEE, I.S. Pain modalities in the body and brain: Current knowledge and future perspectives. In NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS. ISSN 0149-7634, AUG 2022, vol. 139., Registrované v: WOS

    [1.1] GE, X.H. – WANG, L.Y. – PAN, L. – YE, H.Q. – ZHU, X.F. – FAN, S. – FENG, Q. – YU, W.H. – DING, Z.X. Amplitude of low-frequency fluctuation after a single-trigger pain in patients with classical trigeminal neuralgia. In JOURNAL OF HEADACHE AND PAIN. ISSN 1129-2369, DEC 2022, vol. 23, no. 1., Registrované v: WOS

    [1.1] LI, Z.H. – ZHAO, L.L. – JI, J. – MA, B. – ZHAO, Z.Y. – WU, M. – ZHENG, W.H. – ZHANG, Z. Temporal Grading Index of Functional Network Topology Predicts Pain Perception of Patients With Chronic Back Pain. In FRONTIERS IN NEUROLOGY. ISSN 1664-2295, JUN 10 2022, vol. 13., Registrované v: WOS

  • PALENČÁR, J. – PALENČÁR, R. – CHYTIL, M. – WIMMER, Gejza, ml. – WIMMER, Gejza – WITKOVSKÝ, Viktor. ISO linear calibration and measurement uncertainty of the result obtained with the calibrated instrument. In Measurement Science Review, 2022, vol. 22. (2021: 1.697 – IF, Q3 – JCR, 0.376 – SJR, Q3 – SJR). ISSN 1335-8871. Typ:
  • POPOVIĆ, B.V.** – MIJANOVIĆ, A. – WITKOVSKÝ, Viktor. Computing the exact distribution of a linear combination of generalized logistic random variables and its applications. In Journal of Statistical Computation and Simulation, 2022, vol. 92, no. 5, p. 1015-1033. (2021: 1.225 – IF, Q3 – JCR, 0.588 – SJR, Q2 – SJR). ISSN 0094-9655. Dostupné na: <a href="https://doi.org/10.1080/00949655.2021.1982942">https://doi.org/10.1080/00949655.2021.1982942</a> Typ: ADMA

    Citations:
    [1.1] COELHO, C.A. Likelihood Ratio Tests for Elaborate Covariance Structures and for MANOVA Models with Elaborate Covariance Structures-A Review. In JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE. ISSN 0970-4140, 2022., Registrované v: WOS

  • WIMMER, Gejza – WITKOVSKÝ, Viktor. Lineárny model v prípade nie normálne rozdelených meraní. In ROBUST 2022 : Sborník abstraktů. – Praha, ČR : JČMF, 2022, s. 16. Typ: GII
  • WITKOVSKÝ, Viktor – WIMMER, Gejza. PolyCal – Matlab algorithm for comparative polynomial calibration and its applications. In Advanced Mathematical and Computational Tools in Metrology and Testing XII. – World Scientific, 2022, p. 501-512. ISBN 978-981-124-237-3. Dostupné na: <a href="https://doi.org/10.1142/9789811242380_0033">https://doi.org/10.1142/9789811242380_0033</a> Typ: AECA
  • WITKOVSKÝ, Viktor – WIMMER, Gejza. A note on computing the exact distribution of the bootstrap mean. In ROBUST 2022 : Sborník abstraktů. – Praha, ČR : JČMF, 2022, s. 17. Typ: GII
  • WITKOVSKÝ, Viktor. Implementation of the characteristic functions approach to measurement uncertainty evaluation. In Ukrainian Metrological Journal, 2022, no. 1, p. 38-43. ISSN 2522-1345. Dostupné na: <a href="https://doi.org/10.24027/2306-7039.1.2022.258818">https://doi.org/10.24027/2306-7039.1.2022.258818</a> Typ: