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Matthias Wastian
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2020 – today
- 2023
- [j8]Valentin Barzal, Matthias Rössler, Matthias Wastian, Felix Breitenecker, Nikolas Popper:
Analysis of Train Delays using Bayesian Networks. Simul. Notes Eur. 33(2): 89-92 (2023) - [c3]Dominik Rothschedl, Franz Welscher, Franziska Hübl, Ivan Majic, Daniele Giannandrea, Matthias Wastian, Johannes Scholz, Niki Popper:
Calculating Shadows with U-Nets for Urban Environments (Short Paper). GIScience 2023: 63:1-63:6 - [c2]Dominik Brunmeir, Martin Bicher, Niki Popper, Matthias Rößler, Christoph Urach, Claire Rippinger, Matthias Wastian:
Four Years of Not-Using a Simulator: The Agent-Based Template. WSC 2023: 255-266 - 2022
- [j7]Martin Bicher, Matthias Wastian, Dominik Brunmeir, Niki Popper:
Review on Monte Carlo Simulation Stopping Rules: How Many Samples Are Really Enough? Simul. Notes Eur. 32(1): 1-8 (2022) - [j6]Niki Popper, Martin Bicher, Felix Breitenecker, Barbara Glock, Irene Hafner, Miguel Mujica Mota, Gasper Music, Claire Rippinger, Matthias Rössler, Günter Schneckenreither, Christoph Urach, Matthias Wastian, Günther Zauner, Melanie Zechmeister:
Methods for Integrated Simulation - 10 Concepts to Integrate. Simul. Notes Eur. 32(4): 225-236 (2022) - 2020
- [j5]Daniel Kapla, Matthias Wastian:
An Incivility Analysis of Austrian Political Speeches. Simul. Notes Eur. 30(1): 1-6 (2020) - [c1]Matthias Rößler, Matthias Wastian, Anna Jellen, Sarah Frisch, Dominic Weinberger, Philipp Hungerländer, Martin Bicher, Niki Popper:
Simulation And Optimization Of Traction Unit Circulations. WSC 2020: 90-101
2010 – 2019
- 2019
- [j4]Dennis Leser, Matthias Wastian, Matthias Rößler, Michael Landsiedl, Edmond Hajrizi:
Comparison of Prediction Models for Delays of Freight Trains by Using Data Mining and Machine Learning Methods. Simul. Notes Eur. 29(1): 45-47 (2019) - 2018
- [j3]Matthias Wastian, Stephan Reichl:
An Object-oriented Approach to ARGESIM Benchmark C14 'Supply Chain' using MATLAB. Simul. Notes Eur. 28(1): 35-38 (2018) - 2017
- [j2]Matthias Wastian, Dominik Brunmeir:
How Modelling and Simulation Can Benefit the Most from Machine Learning. Simul. Notes Eur. 27(4): 209-212 (2017) - 2015
- [j1]Matthias Wastian, Michael Landsiedl, Felix Breitenecker:
A Soft Computing Model for Server Outage Detection. Simul. Notes Eur. 25(1): 27-34 (2015)
Coauthor Index
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