F. Souza

发表

VARIABLE SELECTION BASED ONMUTUAL INFORMATION FOR SOFT SENSORS APPLICATIONS

R. Araújo, F. Souza, S. Soares, 2010 .

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

C. Premebida, F. Souza, Jérôme Mendes, 2022, International Journal of Fuzzy Systems.

High-Order Conditional Mutual Information Maximization for dealing with High-Order Dependencies in Feature Selection

C. Premebida, F. Souza, Rui Araújo, 2022, Pattern Recognit..

On-line sequential extreme learning machine based on recursive partial least squares

Rui Araújo, Tiago Matias, Joao P. Barreto, 2015, Journal of Process Control.

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

Carlos Henggeler Antunes, Rui Araújo, Tiago Matias, 2014, Neurocomputing.

A multilayer-perceptron based method for variable selection in soft sensor design

Rui Araújo, Tiago Matias, Francisco Souza, 2013 .

Adaptive fuzzy identification and predictive control for industrial processes

Rui Araújo, Jérôme Mendes, Francisco Souza, 2013, Expert Syst. Appl..

Review of soft sensor methods for regression applications

Rui Araújo, Francisco Souza, Jerome Mendes, 2016 .

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

Saeid Rastegar, Rui Araújo, Jérôme Mendes, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

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

Rui Araújo, Jérôme Mendes, Francisco Souza, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules

Rui Araújo, Jérôme Mendes, Ricardo Maia, 2020, Applied Sciences.

Mixture of partial least squares experts and application in prediction settings with multiple operating modes

Rui Araújo, Francisco Souza, R. Araújo, 2014 .

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

Rui Araújo, Francisco Alexandre A. Souza, Carlos Alberto Belchior, 2018, Neural Computing and Applications.

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

Rui Araújo, Tiago Matias, Francisco Souza, 2011, ETFA2011.

Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model

A. Mousavi, F. Souza, Pedro A. C. Sousa, 2021, Applied Sciences.

Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics

Cristiano Premebida, Diego R. Faria, Francisco A. A. Souza, 2017 .

A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes

Rui Araújo, Francisco Souza, Jerome Mendes, 2021, Applied Sciences.

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

Rui Araújo, Tiago Matias, Francisco Souza, 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

Variable and time-lag selection using empirical data

Rui Araújo, Francisco Souza, R. Araújo, 2011, ETFA2011.

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

Pedro Santos, Rui Araújo, Francisco Souza, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Design and application of Soft Sensor using Ensemble Methods

Rui Araújo, Francisco Souza, Pedro Angelo Morais de Sousa, 2011, ETFA2011.

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

R. Araújo, F. Souza, Jérôme Mendes, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors

Rui Araújo, Francisco Souza, R. Araújo, 2014, IEEE Transactions on Industrial Informatics.

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

Pedro Sousa, Tiago Matias, Fátima Dargam, 2020, ICDSST.