Andreas Milias-Argeitis

Orcid: 0000-0002-4291-4228

According to our database1, Andreas Milias-Argeitis authored at least 15 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A convolutional neural network for segmentation of yeast cells without manual training annotations.
Bioinform., 2022

Propagation of initial condition uncertainty for linear dynamical systems: beyond the Gaussian assumption.
Proceedings of the European Control Conference, 2022

2021
Moment-based uncertainty propagation for deterministic biochemical network models with rational reaction rates.
Proceedings of the 2021 European Control Conference, 2021

2018
Efficient global sensitivity analysis of biochemical networks using Gaussian process regression.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Parameter inference for stochastic single-cell dynamics from lineage tree data.
BMC Syst. Biol., 2017

2016
Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection.
PLoS Comput. Biol., 2016

2015
Adaptive Model Predictive Control of an optogenetic system.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Optimization-based Lyapunov function construction for continuous-time Markov chains with affine transition rates.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Computational methods for simulation, identification and model selection in systems biology.
PhD thesis, 2013

Analysis of controlled biological switches via stochastic motion planning.
Proceedings of the 12th European Control Conference, 2013

2011
Efficient stochastic simulation of metastable Markov chains.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input.
IEEE Trans. Autom. Control., 2010

Bayesian model selection for the yeast GATA-factor network: A comparison of computational approaches.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Local Identification of Piecewise Deterministic Models of Genetic Networks.
Proceedings of the Hybrid Systems: Computation and Control, 12th International Conference, 2009

2008
Stochastic dynamics of genetic networks: modelling and parameter identification.
Bioinform., 2008


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