Dynamical metabolic modelling for lipid accumulation by Yarrowia lipolytica growing on glucose. - Carlos Eduardo Robles-Rodríguez; Stéphane E. Guillouet; Carine Bideaux; Gilles Roux; Nathalie Gorret; S. Hulin; Carole Molina-Jouve; Cesar Arturo Aceves-Lara (MED, 2015)

Soft-Sensors for Lipid Fermentation Variables Based on PSO Support Vector Machine (PSO-SVM). - Carlos Eduardo Robles-Rodríguez; Carine Bideaux; Gilles Roux; Carole Molina-Jouve; Cesar Arturo Aceves-Lara (DCAI, 2016)

Multi-objective particle swarm optimization (MOPSO) of lipid accumulation in Fed-batch cultures. - Carlos Eduardo Robles-Rodríguez; Carine Bideaux; Stéphane E. Guillouet; Nathalie Gorret; Gilbert Roux; Carole Molina-Jouve; Cesar Arturo Aceves-Lara (MED, 2016)

Dynamic metabolic modeling of lipid accumulation and citric acid production by Yarrowia lipolytica. - Carlos Eduardo Robles-Rodríguez; Carine Bideaux; Stéphane E. Guillouet; Nathalie Gorret; Julien Cescut; Jean-Louis Uribelarrea; Carole Molina-Jouve; Gilles Roux; Cesar Arturo Aceves-Lara (Comput. Chem. Eng., 2017)

Un chemin de la modélisation à la commande dans les bioprocédés. - César Arturo Aceves-Lara (2021)

Soft-Sensors for Monitoring B. Thuringiensis Bioproduction. - Carlos E. Robles-Rodríguez; Joanna Abboud; N. Abdelmalek; S. Rouis; N. Bensaid; M. Kallassy; J. Cescut; Luc Fillaudeau; Cesar Arturo Aceves-Lara (DCAI (1), 2021)

Use of Support Vector Machine to Fault Detection in Biomethanation Process. - Juan C. Acosta-Pavas; Carlos E. Robles-Rodríguez; C. Dumas; Arnaud Cockx; Jérôme Morchain; Cesar Arturo Aceves-Lara (DCAI (1), 2022)

Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms. - Juan C. Acosta-Pavas; David Griol; Zoraida Callejas; David Camilo Corrales; Carlos Eduardo Robles-Rodríguez; Jérôme Morchain; César Arturo Aceves-Lara (SOCO (1), 2023)

A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production. - Juan C. Acosta-Pavas; David Camilo Corrales; Irene Martínez-Menéndez; Susana María Alonso Villela; Balkiss Bouhaouala-Zahar; Georgios K. Georgakilas; Konstantinos Mexis; Stefanos Xenios; Theodore Dalamagas 001; Antonis Kokosis; Michael O'donohue; Luc Fillaudeau; et al. (DCAI (1), 2024)

Dynamic Hybrid Model for Biopesticides Production Using Bacillus Thuringiensis Strains. - Sergio Figueroa-Cardona; Carlos E. Robles-Rodríguez; Rim El-Jeni; Luc Fillaudeau; César Arturo Aceves-Lara (DCAI (1), 2024)

Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli. - Irene Martínez-Menéndez; Juan C. Acosta-Pavas; David Camilo Corrales; Susana María Alonso Villela; Balkiss Bouhaouala-Zahar; Georgios K. Georgakilas; Konstantinos Mexis; Stefanos Xenios; Theodore Dalamagas 001; Antonis Kokosis; Michael O'donohue; Luc Fillaudeau; et al. (DCAI (1), 2024)

Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. - Juan C. Acosta-Pavas; Carlos Eduardo Robles-Rodríguez; David Griol; Fayza Daboussi; Cesar Arturo Aceves-Lara; David Camilo Corrales (Comput. Chem. Eng., 2024)

Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation. - Brett Metcalfe; Juan C. Acosta-Pavas; Carlos Eduardo Robles-Rodríguez; Georgios K. Georgakilas; Theodore Dalamagas 001; Cesar Arturo Aceves-Lara; Fayza Daboussi; Jasper J. Koehorst; David Camilo Corrales (Comput. Chem. Eng., 2025)