An approach to Mechanism Recognition for model based analysis of Biological Systems. - Mariano Nicolás Cruz Bournazou (2012)

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)

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)

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)

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)

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)

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)

Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries. - Maxim Borisyak; Stefan Born; Peter Neubauer; Mariano Nicolás Cruz Bournazou (CoRR, 2023)

Deep Learning for Fast Inference of Mechanistic Models' Parameters. - Maxim Borisyak; Stefan Born; Peter Neubauer; Mariano Nicolás Cruz Bournazou (CoRR, 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., 2023)

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 (Comput. Chem. Eng., 2023)

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)

Data Augmentation Scheme for Raman Spectra with Highly Correlated Annotations. - Christoph Lange 007; Isabel Thiele; Lara Santolin; Sebastian L. Riedel; Maxim Borisyak; Peter Neubauer; Mariano Nicolás Cruz Bournazou (CoRR, 2024)