13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2017

Papers in WoS Journals

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.

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.

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.

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.

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.

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.

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, 2017. ISSN 1946-0759. ISBN 978-1-5090-6505-9. DOI 10.1109/ETFA.2017.8247743. Available from: http://ieeexplore.ieee.org/document/8247743/

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.

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 1946-0759. ISBN 978-1-5090-6505-9. DOI 10.1109/ETFA.2017.8247711. Available from: http://ieeexplore.ieee.org/document/8247711/

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.

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

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

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

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.