José Pinto

Orcid: 0000-0002-2196-9756

Affiliations:
  • NOVA University of Lisbon, Portugal


According to our database1, José Pinto authored at least 4 papers between 2022 and 2025.

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

Timeline

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Links

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Bibliography

2025
Incorporating first-principles information into hybrid modeling structures: Comparing hybrid semi-parametric models with Physics-Informed Recurrent Neural Networks.
Comput. Chem. Eng., 2025

2024
Hybrid Deep Modeling of Biotechnological Processes: Combining Deep Neural Networks with First Principles Knowledge
PhD thesis, 2024

2023
SBML2HYB: a Python interface for SBML compatible hybrid modeling.
Bioinform., January, 2023

2022
A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks.
Comput. Chem. Eng., 2022


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