Petra Vidnerová, née Kudová Department of Artificial Intelligence Institute of Computer Science, The Czech Academy of Sciences Pod Vodárenskou věží 2, 182 07 Praha 8, Czech Republic phone: (+420) 266 053 630 petra cs.cas.cz [GitHub] [Twitter] [Research Gate] [Google Scholar]

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Research interests:

Machine learning, supervised learning, kernel methods, regularization networks. Deep learning.
Hyper-parameter setup, metalearning. Neural architecture search.
Genetic algorithms, evolutionary and hybrid approaches.

Combining RBF networks and Deep Networks. (RBF Layer for Keras)

Epidemic modelling.

Projects:

22-02067S

AppNeCo: Approximate neurocomputing

Czech Grant Agency

2022 - 2024 (team member)

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News:

• [6. 11. 2023] The paper C. Brom, T. Diviák, J. Drbohlav, V. Korbel, R. Levínský, R. Neruda, G. Suchopárová, J. Šlerka, M. Šmíd, J. Trnka, P. Vidnerová: Rotation-based schedules in elementary schools to prevent COVID-19 spread: A simulation study published in Scientific Reports.


• [26. 9. 2023] Presentation Properties of the weighted and robust implicitly weighted correlation coefficients at ICANN 2023 conference.


• [24. 9. 2023] Two conference papers in ICANN 2023 conference proceedings:
  J. Šíma, P. Vidnerová, V. Mrázek: Energy complexity model for convolutional neural networks.
  J. Kalina, P. Vidnerová: Properties of the Weighted and Robust Implicitly Weighted Correlation Coefficients


• [8. 9. 2023] Presentation Neural Networks - Energy and Robustness at Jizerka Off-site Seminar.


• [7. 9. 2023] The paper Importance of vaccine action and availability and epidemic severity for delaying the second vaccine dose was awarded The Best Result of ICS in 2022 in the category Paper with Application or Social Impact.. Presentation at Jizerka Off-site Seminar.


• [23. 5. 2023] Přednáška o modelu M na křtu monografie Rok s pandemií covid-19.


• [28. 3. 2023] Paper: L. Berec, T. Diviák, A. Kuběna, R. Levínský, R. Neruda, G. Suchopárová, J. Šlerka, M. Šmíd, J. Trnka, V. Tuček, P. Vidnerová, M. Zajíček:
  On the contact tracing for COVID-19: A simulation study .
  Published in Epidemics .


• [13. 2. 2023] Vyšla monografie Rok s pandemií covid-19 (Reflexe v poločase) .


• [6. 12. 2022] Talk at the seminar Hora Informaticae: Model M - an agent-based epidemiological model .


• [22. 7. 2022] Presentation at IJCNN conference (WCCI 2022):
  J. Kalina, P. Vidnerová, P. Janáček: Sparse Versions of Optimized Centroids .


• [24. 6. 2022] Conference paper: G. Suchopárová, P. Vidnerová, R. Neruda, M. Šmíd:
  Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19
  Published in Conference proceedings of EANN 2022.


• [21. 6. 2022] Paper: L. Berec, J. Smyčka, R. Levínský, E. Hromádková, M. Šoltés, J. Šlerka, V. Tuček, J. Trnka, M. Šmíd, M. Zajíček, T. Diviák, R. Neruda, P. Vidnerová:
  Delays, Masks, the Elderly, and Schools: First Covid-19 Wave in the Czech Republic.
  Published in Bulletin of Mathematical Biology .


• [20. 6. 2022] Presentation at ICAISC 2022 conference:
  P. Vidnerová, J. Kalina Multi-objective Bayesian Optimisation for Neural Architecture Search


• [10. 5. 2022] Paper: L. Berec, R. Levínský, J. Weiner, M. Šmíd, R. Neruda, P. Vidnerová, G. Suchopárová: Importance of vaccine action and availability and epidemic severity for delaying the second vaccine dose.
  Published in Scientific Reports .


• [10. 5. 2022] R. Neruda's talk Tested on agents - how we designed an agent-based epidemiological model


• 2021 - 2019

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• Curriculum Vitae (pdf) [last update: January, 2022]
• PhD Thesis

• List of Publications
• Slides from presentations

• HOWTOs
• Bookmarks

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