| Development of a machine learning-based soft sensor for an oil refinery’s distillation column J Ferreira, M Pedemonte, AI Torres Computers & Chemical Engineering 161, 107756, 2022 | 18 | 2022 |
| A genetic programming approach for construction of surrogate models J Ferreira, M Pedemonte, AI Torres Computer Aided Chemical Engineering 47, 451-456, 2019 | 12 | 2019 |
| A comparative study on the numerical performance of kaizen programming and genetic programming for symbolic regression problems J Ferreira, AI Torres, M Pedemonte 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2019 | 9 | 2019 |
| Dynamic study of the evaporation stage of an integrated first and second generation ethanol sugarcane biorefinery using EMSO software EY Emori, J Ferreira, AR Secchi, MASS Ravagnani, CBB Costa Chemical Engineering Research and Design 153, 613-625, 2020 | 6 | 2020 |
| Towards competency-based education in the chemical engineering undergraduate program in Uruguay: Three examples of integrating essential skills E Castelló, C Santiviago, J Ferreira, R Coniglio, E Budelli, V Larnaudie, ... Education for Chemical Engineers 44, 54-62, 2023 | 4 | 2023 |
| Towards a Multi-Output Kaizen Programming Algorithm J Ferreira, AI Torres, M Pedemonte 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2021 | 4 | 2021 |
| Dynamic simulation of evaporator in ethanol biorefinery J Ferreira, BL Nogueira, AR Secchi Latin American Applied Research 49 (1), 65-70, 2019 | 2 | 2019 |
| A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model J Ferreira, AI Torres, M Pedemonte Neural Computing and Applications 35 (13), 9299-9317, 2023 | 1 | 2023 |
| Learning interpretable multi-output models: Kaizen Programming based symbolic regression for estimating outlet concentrations of a splitter J Ferreira, M Pedemonte, AI Torres Computer Aided Chemical Engineering 52, 1107-1112, 2023 | 1 | 2023 |
| A multi-output machine learning approach for generation of surrogate models in process engineering J Ferreira, M Pedemonte, AI Torres Computer Aided Chemical Engineering 49, 1771-1776, 2022 | 1 | 2022 |
| Biorrefinaria virtual: Simulação dinâmica de evaporadores J Ferreira, EC Biscaia Jr, AR Secchi XX Congresso Brasileiro de Engenharia Química, 2014 | 1 | 2014 |
| Does Kaizen Programming need a physic-informed mechanism to improve the search? J Ferreira, AI Torres, M Pedemonte 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2023 | | 2023 |
| Learning models from data: Evaluation on the performance of Kaizen Programming for symbolic regression AIT Jimena Ferreira, Martín Pedemonte 11th World congress of Chemical Engineering, 2023 | | 2023 |
| Kaizen Programming for predicting numerical linear algebra operations performance J Ferreira, E Dufrechou, M Pedemonte 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2022 | | 2022 |
| Algoritmos evolutivos para el aprendizaje de modelos en la industria de procesos J Ferreira Quagliata Udelar- Facultad de Ingeniería, 2022 | | 2022 |
| A Machine Learning Approach for the Design of a Soft Sensor in an Oil Refinery's Distillation Column AIT Jimena Ferreira, Martín Pedemonte 2021 AIChE Annual Meeting, 2021 | | 2021 |
| BISSO: Biomass Interface for Superstructure Simulation and Optimization F Mangone, J Ferreira, AI Torres Processes 7 (10), 645, 2019 | | 2019 |
| DYNAMIC STUDY OF THE INTEGRATED EVAPORATION AND ETHANOL FERMENTATION STAGES OF A SUGARCANE BIOREFINERY USING EMSO SOFTWARE EY Emori, J Ferreira, GC Fonseca, AR Secchi, AJG Cruz, ... SIMPROC3, 2018 | | 2018 |
| Modelling and optimization of a geotextile dewatering tubes process F Mangone, J Ferreira, A Ferrari, S Gutiérrez Computer Aided Chemical Engineering 43, 1371-1376, 2018 | | 2018 |
| Optimization of Aeration Power in a SBR J Ferreira, A Ferrari, S Gutierrez, AR Secchi Computer Aided Chemical Engineering 38, 1341-1346, 2016 | | 2016 |
