Identification of a Multivariate Fermentation Process using Constructive Learning. - Luiz Augusto da Cruz Meleiro; Ricardo J. G. B. Campello; Rubens Maciel Filho; Fernando J. Von Zuben (SBRN, 2002)

Constructive neural network in model-based control of a biotechnological process. - Luiz Augusto da Cruz Meleiro; Rubens Maciel Filho; Fernando J. Von Zuben (IJCNN, 2003)

Factorial design technique applied to genetic algorithm parameters in a batch cooling crystallization optimisation. - Caliane Bastos Borba Costa; Maria Regina Wolf Maciel; Rubens Maciel Filho (Comput. Chem. Eng., 2005)

Development of a software for simulation analysis of the phenomenon of phase change of three-phase catalytic slurry reactor. - Adriano Pinto Mariano; Eduardo Coselli Vasco de Toledo; José Marcos Francisco da Silva; Maria Regina Wolf Maciel; Rubens Maciel Filho (Comput. Chem. Eng., 2005)

Off-line optimization and control for real time integration of a three-phase hydrogenation catalytic reactor. - Delba Nisi Cosme Melo; Eduardo Coselli Vasco de Toledo; Marcela M. Santos; Salah D. M. Hasan; Maria Regina Wolf Maciel; Rubens Maciel Filho (Comput. Chem. Eng., 2005)

Process intensification for high operational performance target: Autorefrigerated CSTR polymerization reactor. - Eduardo Coselli Vasco de Toledo; Rogerio Favinha Martini; Maria Regina Wolf Maciel; Rubens Maciel Filho (Comput. Chem. Eng., 2005)

Application of Hierarchical Neural Fuzzy Models to Modeling and Control of a Bioprocess. - Luiz Augusto da Cruz Meleiro; Ricardo José Gabrielli Barreto Campello; Rubens Maciel Filho; Wagner Caradori do Amaral (Appl. Artif. Intell., 2006)

Considerations on the crystallization modeling: Population balance solution. - Caliane Bastos Borba Costa; Maria Regina Wolf Maciel; Rubens Maciel Filho (Comput. Chem. Eng., 2007)

ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process. - J. C. B. Gonzaga; Luiz Augusto da Cruz Meleiro; C. Kiang; Rubens Maciel Filho (Comput. Chem. Eng., 2009)

Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process. - Luiz Augusto da Cruz Meleiro; Fernando J. Von Zuben; Rubens Maciel Filho (Eng. Appl. Artif. Intell., 2009)

Analysis of the particle swarm algorithm in the optimization of a three-phase slurry catalytic reactor. - Adriano Pinto Mariano; Caliane Bastos Borba Costa; Eduardo Coselli Vasco de Toledo; Delba Nisi Cosme Melo; Rubens Maciel Filho (Comput. Chem. Eng., 2011)

Simulation and Multi-Objective Optimization of Vaccuum Ethanol Fermentation. - Jules Thibault; Rubens Maciel Filho; Marina O. S. Dias; Tassia L. Junqueira; Otavio Cavalett; Charles D. F. Jesus; Carlos E. V. Rossell; Antonio Bonomi (SIMULTECH, 2012)

Artificial neural networks for prediction of recurrent venous thromboembolism. - Tiago Dias Martins; Joyce Maria Annichino-Bizzacchi; Anna Virginia Calazans Romano; Rubens Maciel Filho (Int. J. Medical Informatics, 2020)

Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence. - Elmer Ccopa Rivera; Jonathan J. Swerdlow; Rodney L. Summerscales; Padma P. Tadi Uppala; Rubens Maciel Filho; Mabio R. C. Neto; Hyun J. Kwon (Sensors, 2020)

Decarbonizing ethanol production via gas fermentation: Impact of the CO/H2/CO2 mix source on greenhouse gas emissions and production costs. - Eduardo Almeida Benalcázar; Henk Noorman; Rubens Maciel Filho; John Alexander Posada (Comput. Chem. Eng., 2022)

Combining artificial neural networks and hematological data to diagnose Covid-19 infection in Brazilian population. - Tiago Dias Martins; Sandra D. Martins; Silmara Aparecida de Lima Montalvão; Mohamad Al Bannoud; Gabriel Y. Ottaiano; Letícia Q. Silva; Stephany C. Huber; Tassiana S. P. Diaz; Carolina Wroclawski; Cyrillo Cavalheiro Filho; Rubens Maciel Filho; Joyce Maria Annichino-Bizzacchi (Neural Comput. Appl., 2024)

Predicting mortality of cancer patients using artificial intelligence, patient data and blood tests. - Tiago Dias Martins; Rubens Maciel Filho; Silmara Aparecida de Lima Montalvão; Gabriele S. S. Gois; Mohamad Al Bannoud; Gabriel Y. Ottaiano; Thaizy R. A. Anhaia; Millene E. A. Almeida; Monique R. M. Ferreira; Beatriz M. Martinelli; Maria C. G. L. Fernandes; Stephany C. Huber; et al. (Neural Comput. Appl., 2024)

Prediction of recurrent venous thromboembolism using a spatiotemporal phenomenological model and artificial neural network. - Mohamad Al Bannoud; Tiago Dias Martins; Silmara Aparecida de Lima Montalvão; Joyce Maria Annichino-Bizzacchi; Rubens Maciel Filho; Maria Regina Wolf Maciel (Neural Comput. Appl., 2025)