Alejandro Fernández Villaverde

Orcid: 0000-0001-7401-7380

According to our database1, Alejandro Fernández Villaverde authored at least 42 papers between 2009 and 2024.

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Bibliography

2024
Observability rank conditions for analysing practical identifiability a priori.
CoRR, 2024

Corrigendum to "Controllability and accessibility analysis of nonlinear biosystems" [Computer Methods and Programs in Biomedicine 242 (2023) 107837].
Comput. Methods Programs Biomed., 2024

2023
Controllability and accessibility analysis of nonlinear biosystems.
Comput. Methods Programs Biomed., December, 2023

Distilling identifiable and interpretable dynamic models from biological data.
PLoS Comput. Biol., October, 2023

Benchmarking tools for a priori identifiability analysis.
Bioinform., February, 2023

Improving dynamic predictions with ensembles of observable models.
Bioinform., January, 2023

STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability.
Bioinform., January, 2023

Assessment of Prediction Uncertainty Quantification Methods in Systems Biology.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

On the Origins and Rarity of Locally but Not Globally Identifiable Parameters in Biological Modeling.
IEEE Access, 2023

2022
Symmetries in Dynamic Models of Biological Systems: Mathematical Foundations and Implications.
Symmetry, 2022

A protocol for dynamic model calibration.
Briefings Bioinform., 2022

Smooth Non Linear High Gain Observers for a Class of Dynamical Systems.
IEEE Access, 2022

2021
On testing structural identifiability by a simple scaling method: Relying on scaling symmetries can be misleading.
PLoS Comput. Biol., 2021

PEtab - Interoperable specification of parameter estimation problems in systems biology.
PLoS Comput. Biol., 2021

Structural identifiability and observability of compartmental models of the COVID-19 pandemic.
Annu. Rev. Control., 2021

2020
Finding and Breaking Lie Symmetries: Implications for Structural Identifiability and Observability in Biological Modelling.
Symmetry, 2020

Repairing dynamic models: a method to obtain identifiable and observable reparameterizations with mechanistic insights.
CoRR, 2020

Nonlinear observability algorithms with known and unknown inputs: analysis and implementation.
CoRR, 2020

2019
Input-Dependent Structural Identifiability of Nonlinear Systems.
IEEE Control. Syst. Lett., 2019

Computational Methods for Identification and Modelling of Complex Biological Systems.
Complex., 2019

Observability and Structural Identifiability of Nonlinear Biological Systems.
Complex., 2019

Benchmarking optimization methods for parameter estimation in large kinetic models.
Bioinform., 2019

2018
PREMER: A Tool to Infer Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017
Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliation.
PLoS Comput. Biol., 2017

Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.
PLoS Comput. Biol., 2017

Dynamical compensation and structural identifiability: analysis, implications, and reconciliation.
CoRR, 2017

Dynamical compensation in biological systems as a particular case of structural non-identifiability.
CoRR, 2017

Parameter identifiability analysis and visualization in large-scale kinetic models of biosystems.
BMC Syst. Biol., 2017

2016
Structural Identifiability of Dynamic Systems Biology Models.
PLoS Comput. Biol., 2016

PREMER: Parallel Reverse Engineering of Biological Networks with Information Theory.
Proceedings of the Computational Methods in Systems Biology, 2016

2015
A consensus approach for estimating the predictive accuracy of dynamic models in biology.
Comput. Methods Programs Biomed., 2015

BioPreDyn-bench: a suite of benchmark problems for dynamic modelling in systems biology.
BMC Syst. Biol., 2015

Enabling network inference methods to handle missing data and outliers.
BMC Bioinform., 2015

2014
BioPreDyn-bench: benchmark problems for kinetic modelling in systems biology.
CoRR, 2014

MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics.
BMC Bioinform., 2014

High-Confidence Predictions in Systems Biology Dynamic Models.
Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

2013
MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics.
CoRR, 2013

2012
A cooperative strategy for parameter estimation in large scale systems biology models.
BMC Syst. Biol., 2012

2011
Reset Control for Passive Bilateral Teleoperation.
IEEE Trans. Ind. Electron., 2011

2010
Thermodynamics and Fluctuations Far From Equilibrium.
Entropy, 2010

Passive position error correction in Internet-based teleoperation.
Autom., 2010

2009
Reset control for injecting dissipation into port-hamiltonian systems.
Proceedings of the 10th European Control Conference, 2009


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