češtinaIng. Matej Petrouš
- 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
- E-mail:
- petromat@fd.cvut.cz
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
Nenalezeny žádné údaje.