Francisco Souza

According to our database, Francisco Souza authored at least 31 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Process expert knowledge is essential in creating value from data-driven industrial soft sensors.

Tim Offermans, Ewa Szymanska, Francisco Alexandre A. Souza, Jeroen J. Jansen

Comput. Chem. Eng., 2024

Modeling Humidity and Temperature Effects on Electrochemical Gas Sensors at Low Concentrations.

Francisco Souza, Jasper Fabius, Shaojie Zhuang, Jan Vonk, Burcu Celikkol, Santiago Gaitan

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability.

Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida

Int. J. Fuzzy Syst., October, 2023

Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling.

Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen

IEEE Trans. Ind. Informatics, August, 2023

Operational Decision-Making on Desalination Plants: From Process Modelling and Simulation to Monitoring and Automated Control With Machine Learning.

Fátima C. C. Dargam, Erhard W. Perz, Stefan Bergmann, Ekaterina Rodionova, Pedro Angelo Morais de Sousa, Francisco Alexandre A. Souza, Tiago Matias, Juan Manuel Ortiz, Abraham Esteve-Nuñez, Pau Rodenas, Patricia Zamora Bonachela

Int. J. Decis. Support Syst. Technol., 2023

Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit.

Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza, Cristiano Premebida

Proceedings of the 20th International Conference on Informatics in Control, 2023

Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation.

Jorge Alves, Pedro Sousa, Bárbara Matos, Jérôme Mendes, Francisco Souza, Tiago Matias

Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022

High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection.

Francisco Souza, Cristiano Premebida, Rui Araújo

Pattern Recognit., 2022

Batch Endpoint Prediction using Local Mixture of Batch Time Experts.

Francisco Souza, Tim Offermans, Jeroen J. Jansen

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2020

Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning.

Fátima C. C. Dargam, Erhard W. Perz, Stefan Bergmann, Ekaterina Rodionova, Pedro Angelo Morais de Sousa, Francisco Alexandre A. Souza, Tiago Matias, Juan Manuel Ortiz, Abraham Esteve-Nuñez, Pau Rodenas, Patricia Zamora Bonachela

Proceedings of the Decision Support Systems X: Cognitive Decision Support Systems and Technologies, 2020

2019

Neo-fuzzy neuron learning using backfitting algorithm.

Jérôme Mendes, Francisco Souza, Rui Araújo, Saeid Rastegar

Neural Comput. Appl., 2019

Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems.

Jérôme Mendes, Francisco Alexandre A. Souza, Ricardo Maia, Rui Araújo

Proceedings of the IECON 2019, 2019

2018

Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration.

Carlos Alberto Coelho Belchior, Rui Alexandre Matos Araújo, Francisco Alexandre A. Souza, Jorge Afonso Cardoso Landeck

Neural Comput. Appl., 2018

Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process.

Francisco Souza, Rui Araújo

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017

Online evolving fuzzy control design: An application to a CSTR plant.

Jérôme Mendes, Francisco Souza, Rui Araújo

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process.

Vasco Ferreira, Francisco Alexandre A. Souza, Rui Araújo

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

2015

Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models.

Leonaldo Silva Gomes, Francisco Souza, Ricardo Silva The Pontes, Tobias R. Fernandes Neto, Rui Alexandre Matos Araújo

Int. J. Comput. Intell. Appl., 2015

2014

Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors.

Francisco Souza, Rui Araújo

IEEE Trans. Ind. Informatics, 2014

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine.

Tiago Matias, Francisco Souza, Rui Araújo, Carlos Henggeler Antunes

Neurocomputing, 2014

Adaptive identification and predictive control using an improved on-line sequential extreme learning machine.

Tiago Matias, Francisco Souza, Rui Araújo, Saeid Rastegar, Jérôme Mendes

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013

Neo-fuzzy neuron model for seasonal rainfall forecast: A case study of Ceara's eight homogenous regions.

Thiago N. de Castro, Francisco Souza, José M. B., Ricardo Silva The Pontes, Laurinda L. N. dos Reis, Sérgio Daher

J. Intell. Fuzzy Syst., 2013

Adaptive fuzzy identification and predictive control for industrial processes.

Jérôme Mendes, Rui Araújo, Francisco Souza

Expert Syst. Appl., 2013

Fault detection and replacement of a temperature sensor in a cement rotary kiln.

Tiago Matias, Dulce Gabriel, Francisco Souza, Rui Araújo, J. Costa Pereira

Proceedings of 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation, 2013

2012

Genetic fuzzy system for data-driven soft sensors design.

Jérôme Mendes, Francisco Souza, Rui Araújo, Nuno Gonçalves

Appl. Soft Comput., 2012

An online variable selection method using recursive least squares.

Francisco Souza, Rui Araújo

Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

Evolutionary fuzzy models for nonlinear identification.

Jérôme Mendes, Samuel Pinto, Rui Araújo, Francisco Souza

Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation, 2012

2011

Co-evolutionary genetic Multilayer Perceptron for feature selection and model design.

Francisco Souza, Tiago Matias, Rui Araújo

Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Variable and time-lag selection using empirical data.

Francisco Souza, Rui Araújo

Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

Design and application of Soft Sensor using Ensemble Methods.

Symone G. Soares, Rui Araújo, Pedro Angelo Morais de Sousa, Francisco Souza

Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011

2010

Variable and delay selection using neural networks and mutual information for data-driven soft sensors.

Francisco Souza, Pedro Santos, Rui Araújo

Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010

Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model.

Jérôme Mendes, Rui Araújo, Francisco Souza

Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010