Maria Pia Saccomani

Orcid: 0000-0002-7088-0678

According to our database1, Maria Pia Saccomani authored at least 14 papers between 2001 and 2019.

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

Timeline

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Bibliography

2019
A New Version of DAISY to Test Structural Identifiability of Biological Models.
Proceedings of the Computational Methods in Systems Biology, 2019

2018
The Union between Structural and Practical Identifiability Makes Strength in Reducing Oncological Model Complexity: A Case Study.
Complex., 2018

2015
Identifiability of Nonlinear ODE Models in Systems Biology: Results from Both Structural and Data-Based Methods.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

2014
Comparison of approaches for parameter identifiability analysis of biological systems.
Bioinform., 2014

2013
Structural vs Practical Identifiability in System Biology.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

2011
Two Examples of Testing Global Identifiability with the DAISY Software.
Simul. Notes Eur., 2011

2010
Examples of testing global identifiability of biological and biomedical models with the DAISY software.
Comput. Biol. Medicine, 2010

2007
DAISY: A new software tool to test global identifiability of biological and physiological systems.
Comput. Methods Programs Biomed., 2007

2006
Input estimation in nonlinear dynamical systems using differential algebra techniques.
Autom., 2006

Multicompartmental Modeling of a Complex Physiological System: Special Emphasis on the Steps of a priori Identifiability and Parameter Estimation.
Proceedings of the Positive Systems, 2006

2003
Parameter identifiability of nonlinear systems: the role of initial conditions.
Autom., 2003

Parameter Identifiability of Nonlinear Biological Systems.
Proceedings of the Positive Systems, 2003

2001
Global identifiability of nonlinear models of biological systems.
IEEE Trans. Biomed. Eng., 2001

A new differential algebra algorithm to test identifiability of nonlinear systems with given initial conditions.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001


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