Mariano Nicolás Cruz Bournazou

According to our database, Mariano Nicolás Cruz Bournazou authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations.

Christoph Lange, Isabel Thiele, Lara Santolin, Sebastian L. Riedel, Maxim Borisyak, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2024

A workflow management system for reproducible and interoperable high-throughput self-driving experiments.

Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou

Comput. Chem. Eng., 2024

2023

Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of <i>E. coli</i>.

Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolás Cruz Bournazou

Comput. Chem. Eng., April, 2023

Modeling of bioprocesses via MINLP-based symbolic regression of S-system formalisms.

Tim Forster, Daniel Vázquez, Mariano Nicolás Cruz Bournazou, Alessandro Butté, Gonzalo Guillén-Gosálbez

Comput. Chem. Eng., February, 2023

Deep Learning for Fast Inference of Mechanistic Models' Parameters.

Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2023

Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries.

Maxim Borisyak, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2023

2022

When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.

Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer

CoRR, 2022

Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli.

Jong Woo Kim, Niels Krausch, Judit Aizpuru, Tilman Barz, Sergio Lucia, Peter Neubauer, Mariano Nicolás Cruz Bournazou

CoRR, 2022

2021

Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping.

Judit Aizpuru, Annina Karolin Kemmer, Jong Woo Kim, Stefan Born, Peter Neubauer, Mariano Nicolás Cruz Bournazou, Tilman Barz

CoRR, 2021

2020

Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors.

Clemens Hutter, Moritz von Stosch, Mariano Nicolás Cruz Bournazou, Alessandro Butté

CoRR, 2020

2016

Real-time adaptive input design for the determination of competitive adsorption isotherms in liquid chromatography.

Tilman Barz, Diana C. López C., Mariano Nicolás Cruz Bournazou, Stefan Körkel, Sebastian F. Walter

Comput. Chem. Eng., 2016

2014

Mixed integer optimal control of an intermittently aerated sequencing batch reactor for wastewater treatment.

Juan Antonio Delgado San Martín, Mariano Nicolás Cruz Bournazou, Peter Neubauer, Tilman Barz

Comput. Chem. Eng., 2014

2012

An approach to Mechanism Recognition for model based analysis of Biological Systems.

Mariano Nicolás Cruz Bournazou

PhD thesis, 2012