Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model. - Jérôme Mendes; Rui Araújo; Francisco Souza 001 (ETFA, 2010)

Variable and delay selection using neural networks and mutual information for data-driven soft sensors. - Francisco Souza 001; Pedro Santos; Rui Araújo (ETFA, 2010)

Design and application of Soft Sensor using Ensemble Methods. - Symone G. Soares; Rui Araújo; Pedro Angelo Morais de Sousa; Francisco Souza 001 (ETFA, 2011)

Variable and time-lag selection using empirical data. - Francisco Souza 001; Rui Araújo (ETFA, 2011)

Co-evolutionary genetic Multilayer Perceptron for feature selection and model design. - Francisco Souza 001; Tiago Matias; Rui Araújo (ETFA, 2011)

Evolutionary fuzzy models for nonlinear identification. - Jérôme Mendes; Samuel Pinto; Rui Araújo; Francisco Souza 001 (ETFA, 2012)

An online variable selection method using recursive least squares. - Francisco Souza 001; Rui Araújo (ETFA, 2012)

Genetic fuzzy system for data-driven soft sensors design. - Jérôme Mendes; Francisco Souza 001; Rui Araújo; Nuno Gonçalves 001 (Appl. Soft Comput., 2012)

Fault detection and replacement of a temperature sensor in a cement rotary kiln. - Tiago Matias; Dulce Gabriel; Francisco Souza 001; Rui Araújo; J. Costa Pereira (ETFA, 2013)

Adaptive fuzzy identification and predictive control for industrial processes. - Jérôme Mendes; Rui Araújo; Francisco Souza 001 (Expert Syst. Appl., 2013)

Neo-fuzzy neuron model for seasonal rainfall forecast: A case study of Ceara's eight homogenous regions. - Thiago N. de Castro; Francisco Souza 001; José M. B.; Ricardo Silva The Pontes; Laurinda L. N. dos Reis; Sérgio Daher (J. Intell. Fuzzy Syst., 2013)

Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. - Tiago Matias; Francisco Souza 001; Rui Araújo; Saeid Rastegar; Jérôme Mendes (IECON, 2014)

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine. - Tiago Matias; Francisco Souza 001; Rui Araújo; Carlos Henggeler Antunes (Neurocomputing, 2014)

Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors. - Francisco Souza 001; Rui Araújo (IEEE Trans. Ind. Informatics, 2014)

Applying probabilistic Mixture Models to semantic place classification in mobile robotics. - Cristiano Premebida; Diego R. Faria; Francisco Alexandre A. Souza; Urbano Nunes 001 (IROS, 2015)

Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models. - Leonaldo Silva Gomes; Francisco Souza 001; Ricardo Silva The Pontes; Tobias R. Fernandes Neto; Rui Alexandre Matos Araújo (Int. J. Comput. Intell. Appl., 2015)

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 (INDIN, 2017)

Online evolving fuzzy control design: An application to a CSTR plant. - Jérôme Mendes; Francisco Souza 001; Rui Araújo (INDIN, 2017)

Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process. - Francisco Souza 001; Rui Araújo (INDIN, 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)

Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems. - Jérôme Mendes; Francisco Alexandre A. Souza; Ricardo Maia; Rui Araújo (IECON, 2019)

Neo-fuzzy neuron learning using backfitting algorithm. - Jérôme Mendes; Francisco Souza 001; Rui Araújo; Saeid Rastegar (Neural Comput. Appl., 2019)

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 (ICDSST, 2020)

Batch Endpoint Prediction using Local Mixture of Batch Time Experts. - Francisco Souza 001; Tim Offermans; Jeroen J. Jansen (MetroXRAINE, 2022)

High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. - Francisco Souza 001; Cristiano Premebida; Rui Araújo (Pattern Recognit., 2022)

Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation. - Jorge Alves; Pedro Sousa; Bárbara Matos; Jérôme Mendes; Francisco Souza 001; Tiago Matias (ICCAD, 2023)

Hybrid LSTM-Fuzzy System to Model a Sulfur Recovery Unit. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Francisco Souza 001; Cristiano Premebida (ICINCO (2), 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)

Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. - Francisco Souza 001; Tim Offermans; Ruud Barendse; Geert J. Postma; Jeroen J. Jansen (IEEE Trans. Ind. Informatics, 2023)

Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Francisco Souza 001; Cristiano Premebida (Int. J. Fuzzy Syst., 2023)

Modeling Humidity and Temperature Effects on Electrochemical Gas Sensors at Low Concentrations. - Francisco Souza 001; Jasper Fabius; Shaojie Zhuang 002; Jan Vonk; Burcu Celikkol; Santiago Gaitan (I2MTC, 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)

Distilling Complex Knowledge Into Explainable T-S Fuzzy Systems. - Jorge Sampaio Silveira Junior; Jérôme Mendes; Francisco Souza 001; Cristiano Premebida (IEEE Trans. Fuzzy Syst., 2025)

Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems. - Francisco Souza 001; Thom S. Badings; Geert J. Postma; Jeroen J. Jansen (IEEE Trans. Ind. Informatics, 2025)