Uhrmacher, Adelinde M.
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1

Towards Learning Stochastic Population Models by Gradient D..:

, In: Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation,
 
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3

Efficient Execution for Domain Specific Languages: Comparin..:

, In: Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation,
Köster, Till ; Uhrmacher, Adelinde M - p. 46-47 , 2023
 
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7

Creating PROV-DM Graphs from Model Databases:

, In: 2022 Winter Simulation Conference (WSC),
Wilsdorf, Pia ; Uhrmacher, Adelinde M. - p. 2118-2129 , 2022
 
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8

A Language for Agent-based Discrete-event Modeling and Simu..:

Reinhardt, Oliver ; Warnke, Tom ; Uhrmacher, Adelinde M.
ACM Transactions on Modeling and Computer Simulation.  32 (2022)  1 - p. 1-26 , 2022
 
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9

An artefact-based workflow for finite element simulation st..:

Ruscheinski, Andreas ; Wilsdorf, Pia ; Zimmermann, Julius..
Simulation Modelling Practice and Theory.  116 (2022)  - p. 102464 , 2022
 
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11

Generating Fast Specialized Simulators for Stochastic React..:

Köster, Till ; Warnke, Tom ; Uhrmacher, Adelinde M.
ACM Transactions on Modeling and Computer Simulation.  32 (2022)  2 - p. 1-25 , 2022
 
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15

Generating Fast Specialized Simulators for Stochastic React..:

Köster, Till ; Warnke, Tom ; Uhrmacher, Adelinde M.
ACM Transactions on Modeling and Computer Simulation (TOMACS).  32 (2022)  2 - p. 1-25 , 2022
 
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