Meno a priezvisko:
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RNDr. Anna Krakovská, CSc.
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Typ dokumentu:
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Vedecko/umelecko-pedagogická charakteristika osoby
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Názov vysokej školy:
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Univerzita Komenského v Bratislave
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Sídlo vysokej školy:
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Šafárikovo námestie 6, 818 06 Bratislava
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ŠUŠMÁKOVÁ, K. - KRAKOVSKÁ, A. Discrimination ability of individual measures used in sleep stages classification. In Artificial Intelligence in Medicine, 2008, vol. 44, p. 261-277. ISSN 0933-3657. (2007: 1.825 - IF, Q1 - JCR, 0.993 - SJR, Q1 – SJR), https://www.sciencedirect.com/science/article/pii/S0933365708000924
Cit. Google Scholar: 143, WOS: 77, SCOPUS: 17
KRAKOVSKÁ, A. - MEZEIOVÁ, K. Automatic sleep scoring: A search for an optimal combination of measures. In Artificial Intelligence in Medicine, 2011, vol. 53, no. 1, p. 25-33. ISSN 0933-3657. (2010: 1.568 - IF, Q2 - JCR, 0.619 - SJR, Q2 - SJR), https://www.sciencedirect.com/science/article/pii/S0933365711000741
Cit. Google Scholar: 98, WOS: 62, SCOPUS: 10
TEPLAN, M. - KRAKOVSKÁ, A. - ŠTOLC, S. EEG responses to long-term audio-visual stimulation. In International Journal of Psychophysiology, 2006, vol. 59, p. 81-90. ISSN 0167-8760. (2005: 2.584 - IF, Q1 - JCR, 1.269 - SJR, Q1 - SJR), https://www.sciencedirect.com/science/article/pii/S0167876005001029
Cit. Google Scholar: 93, WOS: 38, SCOPUS: 10
TEPLAN, M. - KRAKOVSKÁ, A. - ŠTOLC, S. Direct effects of audio-visual stimulation on EEG. In Computer Methods and Programs in Biomedicine, 2011, vol. 102, no. 1, p. 17-24. ISSN 0169-2607. (2010: 1.238 - IF, Q2 - JCR, 0.540 - SJR, Q2 - SJR), https://www.sciencedirect.com/science/article/pii/S0169260710002890
Cit. Google Scholar: 40, WOS: 10, SCOPUS: 7
KRAKOVSKÁ, A. - JAKUBÍK, J. - CHVOSTEKOVÁ, M. - COUFAL, D. - JAJCAY, N. - PALUŠ, M. Comparison of six methods for the detection of causality in a bivariate time series. In Physical Review E, 2018, vol. 97, p. 042207. ISSN 2470-0045. (2017: 2.284 - IF, Q1 - JCR, 0.979 - SJR, Q1 - SJR), https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.042207
Cit. Google Scholar: 30, WOS: 18, SCOPUS: 1
KRAKOVSKÁ, A. - JAKUBÍK, J. - CHVOSTEKOVÁ, M. - COUFAL, D. - JAJCAY, N. - PALUŠ, M. Comparison of six methods for the detection of causality in a bivariate time series. In Physical Review E, 2018, vol. 97, p. 042207. ISSN 2470-0045. (2017: 2.284 - IF, Q1 - JCR, 0.979 - SJR, Q1 - SJR), https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.042207
Cit. Google Scholar: 30, WOS: 18, SCOPUS: 1
PALUŠ, M. - KRAKOVSKÁ, A. - JAKUBÍK, J. - CHVOSTEKOVÁ, M. Causality, dynamical systems and the arrow of time. In Chaos : An Interdisciplinary Journal of Nonlinear Science, 2018, vol. 28, no. 7, p. 075307. ISSN 1054-1500. (2017: 2.415 - IF, Q1 - JCR, 0.716 - SJR, Q2 - SJR), https://aip.scitation.org/doi/abs/10.1063/1.5019944
Cit. Google Scholar: 37, WOS: 19, SCOPUS: 2
COUFAL, D. - JAKUBÍK, J. - JAJCAY, N. - HLINKA, J. - KRAKOVSKÁ, A. - PALUŠ, M. Detection of coupling delay: A problem not yet solved. In Chaos, 2017, vol. 27, no. 8, p. 083109. ISSN 1054-1500. (2016: 2.283 - IF, Q1 - JCR, 0.780 - SJR, Q2 – SJR), https://aip.scitation.org/doi/abs/10.1063/1.4997757
Cit. Google Scholar: 20, WOS: 15, SCOPUS: 1
KRAKOVSKÁ, A. - HANZELY, F. Testing for causality in reconstructed state spaces by an optimized mixed prediction method. In Physical Review E, 2016, vol. 94, no. 5, p. 052203. ISSN 2470-0045. (2015: 2.252 - IF, Q1 - JCR, 1.183 - SJR, Q1 - SJR), https://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.052203
Cit. Google Scholar: 18, WOS: 6, SCOPUS: 2
KRAKOVSKÁ, A. Correlation dimension detects causal links in coupled dynamical systems. In Entropy, 2019, vol. 21, no. 9, art. no. 818. ISSN 1099-4300. (2018: 2.419 - IF, Q2 - JCR, 0.524 - SJR, Q2 - SJR), https://www.mdpi.com/1099-4300/21/9/818
Cit. Google Scholar: 5, WOS: 2
Fraiwan, L. et al. Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier. Computer methods and programs in biomedicine 108.1 (2012): 10-19. https://www.sciencedirect.com/science/article/pii/S0169260711003105
Vernon, David, et al. "Tracking EEG changes in response to alpha and beta binaural beats." International Journal of Psychophysiology 93.1 (2014): 134-139, https://www.sciencedirect.com/science/article/pii/S0167876012006241
Koley, B., and Debangshu D. An ensemble system for automatic sleep stage classification using single channel EEG signal. Computers in biology and medicine 42.12 (2012): 1186-1195. https://www.sciencedirect.com/science/article/pii/S0010482512001588
Liang, S-F, et al. Automatic stage scoring of single-channel sleep EEG by using multiscale entropy and autoregressive models. IEEE Transactions on Instrumentation and Measurement 61.6 (2012): 1649-1657. https://ieeexplore.ieee.org/abstract/document/6165354
Sen, Baha, et al. A comparative study on classification of sleep stage based on EEG signals using feature selection and classification algorithms. Journal of medical systems 38.3 (2014): 1-21.https://link.springer.com/article/10.1007/s10916-014-0018-0
Analysis of multivariate time series and its application to research of functional connectivity in the brain; VEGA, 2/0081/19; 2019 – 2021; Project coordinator
Advanced statistical and computational methods for measurement and metrology; APVV-15-0295; 2016 – 2020; researcher
Analysis of causal relationships in complex systems with an emphasis on biomedical applications; VEGA, 2/0011/16; 2016 – 2018; Project coordinator
Synchronization and causality in complex systems: time series methods; Inter-academic agreement with the Czech Acad. of Sc.; 2015 – 2017; Project coordinator
Causal analysis of measured signals and time series; VEGA, 2/0023/22, 2022-2025; Project coordinator