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ORCIDCesar Arturo Aceves-Lara
2020 – today
- 2025
[j3]Brett Metcalfe
, Juan C. Acosta-Pavas, Carlos Eduardo Robles-Rodríguez, Georgios K. Georgakilas, Theodore Dalamagas, Cesar Arturo Aceves-Lara, Fayza Daboussi, Jasper J. Koehorst, David Camilo Corrales:
Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation. Comput. Chem. Eng. 194: 108991 (2025)- 2024
- [j2]Juan C. Acosta-Pavas, Carlos Eduardo Robles-Rodríguez, David Griol, Fayza Daboussi, Cesar Arturo Aceves-Lara, David Camilo Corrales:
Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. Comput. Chem. Eng. 187: 108736 (2024) - [c9]Sergio Figueroa-Cardona, Carlos E. Robles-Rodríguez, Rim El-Jeni, Luc Fillaudeau, César Arturo Aceves-Lara:
Dynamic Hybrid Model for Biopesticides Production Using Bacillus Thuringiensis Strains. DCAI (1) 2024: 241-249 - [c8]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, Antonis Kokosis, Michael O'donohue, Luc Fillaudeau, César Arturo Aceves-Lara:
A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production. DCAI (1) 2024: 271-281 - [c7]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, Antonis Kokosis, Michael O'donohue, Luc Fillaudeau, Nadia Boukhelifa, Alberto Tonda, César Arturo Aceves-Lara:
Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli. DCAI (1) 2024: 307-316 - 2023
- [c6]Juan C. Acosta-Pavas, David Griol, Zoraida Callejas, David Camilo Corrales, Carlos Eduardo Robles-Rodríguez, Jérôme Morchain, César Arturo Aceves-Lara:
Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms. SOCO (1) 2023: 132-142 - 2022
- [c5]Juan C. Acosta-Pavas, Carlos E. Robles-Rodríguez, C. Dumas, Arnaud Cockx, Jérôme Morchain, Cesar Arturo Aceves-Lara:
Use of Support Vector Machine to Fault Detection in Biomethanation Process. DCAI (1) 2022: 176-186 - 2021
- [b1]César Arturo Aceves-Lara:
Un chemin de la modélisation à la commande dans les bioprocédés. Paul Sabatier University, Toulouse, France, 2021 - [c4]Carlos E. Robles-Rodríguez, Joanna Abboud, N. Abdelmalek, S. Rouis, N. Bensaid, M. Kallassy, J. Cescut, Luc Fillaudeau, Cesar Arturo Aceves-Lara:
Soft-Sensors for Monitoring B. Thuringiensis Bioproduction. DCAI (1) 2021: 129-136
2010 – 2019
- 2017
- [j1]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:
Dynamic metabolic modeling of lipid accumulation and citric acid production by Yarrowia lipolytica. Comput. Chem. Eng. 100: 139-152 (2017) - 2016
- [c3]Carlos Eduardo Robles-Rodríguez, Carine Bideaux, Gilles Roux, Carole Molina-Jouve, Cesar Arturo Aceves-Lara:
Soft-Sensors for Lipid Fermentation Variables Based on PSO Support Vector Machine (PSO-SVM). DCAI 2016: 175-183 - [c2]Carlos Eduardo Robles-Rodríguez, Carine Bideaux, Stéphane E. Guillouet, Nathalie Gorret, Gilbert Roux, Carole Molina-Jouve, Cesar Arturo Aceves-Lara:
Multi-objective particle swarm optimization (MOPSO) of lipid accumulation in Fed-batch cultures. MED 2016: 979-984 - 2015
- [c1]Carlos Eduardo Robles-Rodríguez, Stéphane E. Guillouet, Carine Bideaux, Gilles Roux, Nathalie Gorret, S. Hulin, Carole Molina-Jouve, Cesar Arturo Aceves-Lara:
Dynamical metabolic modelling for lipid accumulation by Yarrowia lipolytica growing on glucose. MED 2015: 815-820
Coauthor Index
aka: Carlos E. Robles-Rodríguez
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