13133 / 13166 - Publications - 2017

13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2017

Papers in WoS Journals

BAKŠTEIN, E., et al. Methods for automatic detection of artifacts in microelectrode recordings. Journal of Neuroscience Methods. 2017, 290 39-51. ISSN 0165-0270. DOI 10.1016/j.jneumeth.2017.07.012.

MACKŮ, D. and I. NOVOTNÁ. Patients above the age of 70 face unjustified discrimination in heart transplants. European Geriatric Medicine. 2017, Volume 8(Issues 5–6), 509-510. ISSN 1878-7649. DOI 10.1016/j.eurger.2017.07.020.

FIŠEROVÁ, J., et al. Chromatin organization at the nuclear periphery as revealed by image analysis of structured illumination microscopy data. Journal of Cell Science. 2017, 130(12), 2066-2077. ISSN 0021-9533. DOI 10.1242/jcs.198424.

SIEGER, T., et al. Interactive Dendrograms: The R Packages idendro and idendr0. Journal of Statistical Software. 2017, 76(10), 1-22. ISSN 1548-7660. DOI 10.18637/jss.v076.i10.

BONNET, C., et al. GABA spectra and remote distractor effect in progressive supranuclear palsy: A pilot study. Revue Neurologique. 2017, 173(4), 225-229. ISSN 0035-3787. DOI 10.1016/j.neurol.2017.03.007.

DUQUE, S.I., et al. Feature subset selection and classification of intracardiac electrograms during atrial fibrillation. Biomedical Signal Processing and Control. 2017, 38 182-190. ISSN 1746-8094. DOI 10.1016/j.bspc.2017.06.005.

Conference Proceedings

NOVÁK, P., P. KADERA, and E. WIMMER. Model-Based Engineering and Virtual Commissioning of Cyber-Physical Manufacturing Systems - Transportation System Case Study. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). The 22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, 2017-09-12/2017-09-15. Piscataway, NJ: IEEE, 2018. ISSN 1946-0759. DOI 10.1109/ETFA.2017.8247743. Available from: http://ieeexplore.ieee.org/document/8247743/

NOVÁK, P., F.J. EKAPUTRA, and S. BIFFL. Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description. In: Proceedings of the IFAC 2017 World Congress. The 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017-07-09/2017-07-14. Kidlington Oxford OX GB: Elsevier, 2017. p. 7613-7620. ISSN 2405-8963. DOI 10.1016/j.ifacol.2017.08.1027. Available from: https://www.sciencedirect.com/science/article/pii/S2405896317315082

KLEMPÍŘ, O., et al. Automatic Spike Sorting Procedure Based on the Detection of the Number of Pallidal Neurons from Microrecordings in Dystonia. In: 64. SPOLEČNÝ SJEZD ČESKÉ A SLOVENSKÉ SPOLEČNOSTI PRO KLINICKOU NEUROFYZIOLOGII. Clarion Congress Hotel, České Budějovice, 2017-09-26/2017-09-27. Prague: ČLS JEP, 2017.

WIMMER, M., et al. Cardinality-based variability modeling with AutomationML. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). The 22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, 2017-09-12/2017-09-15. Piscataway, NJ: IEEE, 2017. ISSN 1946-0740. ISBN 978-1-5090-6505-9. DOI 10.1109/ETFA.2017.8247711. Available from: http://ieeexplore.ieee.org/document/8247711/

KUBALÍK, J., E. ALIBEKOV, and R. BABUŠKA. Optimal Control via Reinforcement Learning with Symbolic Policy Approximation. In: Proceedings of the IFAC 2017 World Congress. The 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017-07-09/2017-07-14. Kidlington Oxford OX GB: Elsevier, 2017. p. 4162-4167. ISSN 2405-8963. DOI 10.1016/j.ifacol.2017.08.805. Available from: https://www.sciencedirect.com/science/article/pii/S2405896317312594

NOVÁK, P., M. WIMMER, and P. KADERA. Slicing simulation models into co-simulations. In: MAŘÍK, V., et al., eds. Industrial Applications of Holonic and Multi-Agent Systems. 8th International Conference, HoloMAS 2017, Lyon, France, August 28–30, 2017, Proceedings, Lyon, 2017-09-28/2017-09-30. Cham: Springer, 2017. p. 111-124. ISSN 0302-9743. ISBN 978-3-319-64634-3. DOI 10.1007/978-3-319-64635-0_9.

ŽEGKLITZ, J. and P. POŠÍK. Linear combinations of features as leaf nodes in symbolic regression. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2017 Genetic and Evolutionary Computation Conference, Berlín, 2017-07-15/2017-07-19. New York: ACM, 2017. p. 145-146. ISBN 978-1-4503-4939-0. DOI 10.1145/3067695.3076009. Available from: https://dl.acm.org/citation.cfm?id=3076009

NOVÁK, P., P. KADERA, and M. WIMMER. Agent-Based Modeling and Simulation of Hybrid Cyber-Physical Systems. In: 2017 3rd IEEE International Conference on Cybernetics (CYBCON 2017). Exeter, 2017-06-21/2017-06-23. IEEE (Institute of Electrical and Electronics Engineers), 2017. p. 175-182. vol. Volume 1. ISSN 2475-6113. ISBN 978-1-5386-2201-8. DOI 10.1109/CYBConf.2017.7985755.

Dissertations

BAKŠTEIN, E. Deep Brain Recordings in Parkinson's Disease: Processing, Analysis and Fusion with Anatomical Models. Praha: Defense date 2017-03-31. PhD Thesis. ČVUT FEL, Katedra kybernetiky. Supervised by O. ŠTĚPÁNKOVÁ and D. NOVÁK.

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