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ORCIDAndreas Milias-Argeitis
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2020 – today
- 2022
[j5]Herbert Teun Kruitbosch
, Yasmin Mzayek, Sara Omlor, Paolo Guerra, Andreas Milias-Argeitis:
A convolutional neural network for segmentation of yeast cells without manual training annotations. Bioinform. 38(5): 1427-1433 (2022)- [c9]Tamara Kurdyaeva, Andreas Milias-Argeitis:
Propagation of initial condition uncertainty for linear dynamical systems: beyond the Gaussian assumption. ECC 2022: 1391-1396 - 2021
- [c8]Tamara Kurdyaeva, Andreas Milias-Argeitis:
Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates. ECC 2021: 878-883
2010 – 2019
- 2018
- [c7]Tamara Kurdyaeva, Andreas Milias-Argeitis:
Efficient global sensitivity analysis of biochemical networks using Gaussian process regression. CDC 2018: 2673-2678 - 2017
- [j4]Irena Kuzmanovska, Andreas Milias-Argeitis, Jan Mikelson, Christoph Zechner, Mustafa Khammash:
Parameter inference for stochastic single-cell dynamics from lineage tree data. BMC Syst. Biol. 11(1): 52:1-52:13 (2017) - 2016
- [j3]Andreas Milias-Argeitis, Ana Paula Oliveira, Luca Gerosa, Laura Falter, Uwe Sauer, John Lygeros:
Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection. PLoS Comput. Biol. 12(3) (2016) - 2015
- [c6]Andreas Milias-Argeitis, Mustafa Khammash:
Adaptive Model Predictive Control of an optogenetic system. CDC 2015: 1265-1270 - 2014
- [c5]Andreas Milias-Argeitis, Mustafa Khammash:
Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates. CDC 2014: 4617-4622 - 2013
- [b1]Andreas Milias-Argeitis:
Computational methods for simulation, identification and model selection in systems biology. ETH Zurich, Zürich, Switzerland, 2013 - [c4]Peyman Mohajerin Esfahani, Andreas Milias-Argeitis, Debasish Chatterjee:
Analysis of controlled biological switches via stochastic motion planning. ECC 2013: 93-98 - 2011
- [c3]Andreas Milias-Argeitis, John Lygeros:
Efficient stochastic simulation of metastable Markov chains. CDC/ECC 2011: 2239-2244 - 2010
- [j2]Federico Ramponi, Debasish Chatterjee, Andreas Milias-Argeitis, Peter Hokayem, John Lygeros:
Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input. IEEE Trans. Autom. Control. 55(10): 2414-2418 (2010) - [c2]Andreas Milias-Argeitis, Riccardo Porreca, Sean Summers, John Lygeros:
Bayesian model selection for the yeast GATA-factor network: A comparison of computational approaches. CDC 2010: 3379-3384
2000 – 2009
- 2009
- [c1]Eugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, John Lygeros:
Local Identification of Piecewise Deterministic Models of Genetic Networks. HSCC 2009: 105-119 - 2008
- [j1]Eugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, John Lygeros:
Stochastic dynamics of genetic networks: modelling and parameter identification. Bioinform. 24(23): 2748-2754 (2008)
Coauthor Index
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