Rui Oliveira
Orcid: 0000-0001-8077-4177Affiliations:
- NOVA University Lisbon, Portugal
According to our database1,
Rui Oliveira
authored at least 17 papers
between 2004 and 2023.
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Bibliography
2023
Bioinform., January, 2023
2022
A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks.
Comput. Chem. Eng., 2022
2016
A principal components method constrained by elementary flux modes: analysis of flux data sets.
BMC Bioinform., 2016
2015
Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015
2014
Hybrid semi-parametric modeling in process systems engineering: Past, present and future.
Comput. Chem. Eng., 2014
Proceedings of the Large-Scale Networks in Engineering and Life Sciences, 2014
2012
On the Effect of Thermodynamic Equilibrium on the Assembly Efficiency of Complex Multi-Layered Virus-Like Particles (VLP): the Case of Rotavirus VLP.
PLoS Comput. Biol., 2012
2011
A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses.
Expert Syst. Appl., 2011
BMC Syst. Biol., 2011
Projection to latent pathways (PLP): a constrained projection to latent variables (PLS) method for elementary flux modes discrimination.
BMC Syst. Biol., 2011
Hybrid metabolic flux analysis: combining stoichiometric and statistical constraints to model the formation of complex recombinant products.
BMC Syst. Biol., 2011
2010
Modelling biochemical networks with intrinsic time delays: a hybrid semi-parametric approach.
BMC Syst. Biol., 2010
2008
Comput. Chem. Eng., 2008
Metabolic modelling of polyhydroxyalkanoate copolymers production by mixed microbial cultures.
BMC Syst. Biol., 2008
2007
Hybrid elementary flux analysis/nonparametric modeling: application for bioprocess control.
BMC Bioinform., 2007
2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
2004
Combining first principles modelling and artificial neural networks: a general framework.
Comput. Chem. Eng., 2004