E-LIB Suche - Ergebnisse für: Djurdjevac Conrad, Nataša

1

Multilevel optimization for policy design with agent-based ..:

Niemann, Jan-Hendrik ; Uram, Samuel ; Wolf, Sarah..
Journal of Computational Science. 77 (2024) - p. 102242 , 2024

Link: https://doi.org/10.1016/..

2

Modelling opinion dynamics under the impact of influencer a..:

Helfmann, Luzie ; Djurdjevac Conrad, Nataša ; Lorenz-Spreen, Philipp.
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

3

Insights into drivers of mobility and cultural dynamics of ..:

Zonker, Johannes ; Padilla-Iglesias, Cecilia ; Djurdjevac Conrad, Nataša
Royal Society Open Science. 10 (2023) 11 - p. , 2023

Link: https://doi.org/10.1098/..

4

Feedback Loops in Opinion Dynamics of Agent-Based Models wi..:

Djurdjevac Conrad, Nataša ; Köppl, Jonas ; Djurdjevac, Ana
Entropy. 24 (2022) 10 - p. 1352 , 2022

Link: https://doi.org/10.3390/..

5

Koopman-Based Spectral Clustering of Directed and Time-Evol..:

Klus, Stefan ; Djurdjevac Conrad, Nataša
Journal of Nonlinear Science. 33 (2022) 1 - p. , 2022

Link: https://doi.org/10.1007/..

6

Prediction of Covid-19 spreading and optimal coordination o..:

Wulkow, Hanna ; Conrad, Tim O. F. ; Djurdjevac Conrad, Nataša...
PLOS ONE. 16 (2021) 4 - p. e0249676 , 2021

Link: https://doi.org/10.1371/..

7

The furnace and the goat—A spatio-temporal model of the fue..:

Becker, Fabian ; Djurdjevac Conrad, Nataša ; Eser, Raphael A....
PLOS ONE. 15 (2020) 11 - p. e0241133 , 2020

Link: https://doi.org/10.1371/..

8

From interacting agents to density-based modeling with stoc..

ZIB-Report ; 2019, 21

Helfmann, Luzie ; Djurdjevac Conrad, Nataša.. , June 2019

Link: https://edocs.tib.eu/fil..

9

Human mobility and innovation spreading in ancient times: a..:

Djurdjevac Conrad, Nataša ; Helfmann, Luzie ; Zonker, Johannes..
EPJ Data Science. 7 (2018) 1 - p. , 2018

Link: https://doi.org/10.1140/..

10

Tracking online topics over time: understanding dynamic has..:

Lorenz-Spreen, Philipp ; Wolf, Frederik ; Braun, Jonas...
Computational Social Networks. 5 (2018) 1 - p. , 2018

Link: https://doi.org/10.1186/..

11

Cycle-flow–based module detection in directed recurrence ne..:

Banisch, Ralf ; Djurdjevac Conrad, Nataša
EPL (Europhysics Letters). 108 (2014) 6 - p. 68008 , 2014

Link: https://doi.org/10.1209/..

12

Koopman-based surrogate models for multi-objective optimiza..:

Niemann, Jan-Hendrik ; Klus, Stefan ; Conrad, Nataša Djurdjevac.
Physica D: Nonlinear Phenomena. 460 (2024) - p. 134052 , 2024

Link: https://doi.org/10.1016/..

13

Understanding the romanization spreading on historical inte..:

Kostré, Margarita ; Sunkara, Vikram ; Schütte, Christof.
Applied Network Science. 7 (2022) 1 - p. , 2022

Link: https://doi.org/10.1007/..

14

Mathematical modeling of spatio-temporal population dynamic..:

Winkelmann, Stefanie ; Zonker, Johannes ; Schütte, Christof.
Mathematical Biosciences. 336 (2021) - p. 108619 , 2021

Link: https://doi.org/10.1016/..

15

Identifying lncRNA-mediated regulatory modules via ChIA-PET..:

Thiel, Denise ; Conrad, Nataša Djurdjevac ; Ntini, Evgenia...
BMC Bioinformatics. 20 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..