Ing. Matej Petrouš

fotografie osoby
Department:
Department of Applied Mathematics (16111)
Study programme:
Doctoral Degree Programme
Name of programme:
Engineering Informatics
Code of programme:
P 3902
Study field:
I - Engineering Informatics of Transportation and Communication
Supervisor:
doc. Ing. Evženie Uglickich, CSc.
Form of study:
part-time study
E-mail:
petromat@fd.cvut.cz
Study programme:
Doctoral Degree Programme
Name of programme:
Engineering Informatics
Code of programme:
P 3902
Form of study:
part-time study
Location:
Prague
Study field:
I - Engineering Informatics of Transportation and Communication

No teaching.

Head of student project:

No head of student project.


* information comes from a university database VVVS

1.Modeling of mixed data for Poisson prediction
Petrouš, M. - Uglickich, E.
In: Proceedings of the IEEE 14th International Symposium on Applied Computational Intelligence and Informatics SACI 2020. Budapest: IEEE Hungary Section, University Obuda, 2020. p. 77-82. ISBN 978-1-7281-7377-1.
Stať ve sborníku ze zahraniční mezinárodní konference (2020)
2.Rayleigh model fitting to nonnegative discrete data
Petrouš, M. - Uglickich, E.
In: 2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES). Budapest: IEEE Hungary Section, University Obuda, 2020. p. 67-72. ISSN 1543-9259. ISBN 978-1-7281-1059-2.
Stať ve sborníku ze zahraniční mezinárodní konference (2020)
3.Selecting explanatory variables for passenger demand model
Petrouš, M.
In: 2020 Smart City Symposium Prague. New York: IEEE Press, 2020. ISBN 978-1-7281-6821-0.
Stať ve sborníku ze zahraniční mezinárodní konference (2020)
4.Modeling of passenger demand using mixture of Poisson components
Petrouš, M. - Suzdaleva, E., - Nagy, I.
In: Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019). Madeira: SciTePress, 2019. p. 617-624. ISBN 978-989-758-380-3.
Stať ve sborníku ze zahraniční mezinárodní konference (2019)
5.Recursive Clustering Hematological Data Using Mixture of Exponential Components
Suzdaleva, E. - Nagy, I., - Petrouš, M.
In: Proceedings of International Conference on Intelligent Informatics and BioMedical Sciences ICIIBMS 2017. Okinawa: Okinawa Institute of Science and Technology, 2017. p. 63-70. ISSN 2189-8723. ISBN 978-1-5090-6664-3.
Stať ve sborníku ze zahraniční prestižní konference (2017)
6.Clustering with a Model of Sub-Mixtures of Different Distributions
Nagy, I. - Suzdaleva, E., - Petrouš, M.
In: Intelligent Systems and Informatics (SISY), 2017 IEEE 15th International Symposium on. Budapest: IEEE Hungary Section, University Obuda, 2017. ISSN 1949-0488. ISBN 978-1-5386-3855-2.
Stať ve sborníku ze zahraniční lokální konference (2017)

* information comes from a university database VVVS
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