Bastian Prasse
Bastian Prasse
Scientific Officer Mathematical Modelling, ECDC
Dirección de correo verificada de ecdc.europa.eu
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Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
B Prasse, MA Achterberg, L Ma, P Van Mieghem
Applied Network Science 5 (1), 1-11, 2020
44*2020
Comparing the accuracy of several network-based COVID-19 prediction algorithms
MA Achterberg, B Prasse, L Ma, S Trajanovski, M Kitsak, P Van Mieghem
International journal of forecasting, 2020
192020
Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches
P Tewarie, B Prasse, JM Meier, FAN Santos, L Douw, M Schoonheim, ...
NeuroImage, 116805, 2020
182020
Network Reconstruction and Prediction of Epidemic Outbreaks for General Group-Based Compartmental Epidemic Models
B Prasse, P Van Mieghem
IEEE Transactions on Network Science and Engineering, 2020
142020
Time-dependent solution of the NIMFA equations around the epidemic threshold
B Prasse, P Van Mieghem
Journal of Mathematical Biology 81 (6), 1299-1355, 2020
132020
The viral state dynamics of the discrete-time NIMFA epidemic model
B Prasse, P Van Mieghem
IEEE Transactions on Network Science and Engineering 7 (3), 1667-1674, 2019
92019
Network reconstruction and prediction of epidemic outbreaks for NIMFA processes
B Prasse, P Van Mieghem
arXiv preprint arXiv:1811.06741, 2018
92018
Exact network reconstruction from complete SIS nodal state infection information seems infeasible
B Prasse, P Van Mieghem
IEEE Transactions on Network Science and Engineering 6 (4), 748-759, 2018
72018
Fundamental limits of predicting epidemic outbreaks
B Prasse, P Van Mieghem
Delft University of Technology, Delft, 2020
62020
Network-based prediction of COVID-19 epidemic spreading in Italy
C Pizzuti, A Socievole, B Prasse, P Van Mieghem
Applied Network Science 5 (1), 1-22, 2020
52020
Predicting dynamics on networks hardly depends on the topology
B Prasse, P Van Mieghem
arXiv preprint arXiv:2005.14575, 2020
52020
Maximum-likelihood network reconstruction for SIS processes is NP-hard
B Prasse, P Van Mieghem
arXiv preprint arXiv:1807.08630, 2018
52018
A dynamic programming algorithm for resolving transmit-ambiguities in the localization of WSN
S Schlupkothen, B Prasse, G Ascheid
2016 Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), 1-8, 2016
42016
Clustering for epidemics on networks: a geometric approach
B Prasse, K Devriendt, P Van Mieghem
Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (6), 063115, 2021
22021
Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models
PK Tewarie, B Prasse, JM Meier, Á Byrne, M De Domenico, CJK Stam, ...
New Journal of Physics, 2021
22021
Backtracking-based dynamic programming for resolving transmit ambiguities in WSN localization
S Schlupkothen, B Prasse, G Ascheid
EURASIP Journal on Advances in Signal Processing 2018 (1), 1-26, 2018
22018
Mobile smartphone tracing can detect almost all SARS-CoV-2 infections
B Prasse, P Van Mieghem
arXiv preprint arXiv:2006.14285, 2020
12020
Epidemics on Networks: Analysis, Network Reconstruction and Prediction
B Prasse
Delft University of Technology, 2021
2021
Optimization Methods for the Localization of Distributed Wireless Sensor Networks
B Prasse
2015
The Solution of the NIMFA Epidemic Model around the Epidemic Threshold
B Prasse, P Van Mieghem
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Artículos 1–20