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ORCIDRui Araújo
- > Home > Persons > Rui Araújo
Publications
- 2022
[j30]Francisco Souza
, Cristiano Premebida, Rui Araújo:
High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. Pattern Recognit. 131: 108895 (2022)- [i2]Francisco Souza, Cristiano Premebida, Rui Araújo:
High-Order Conditional Mutual Information Maximization for dealing with High-Order Dependencies in Feature Selection. CoRR abs/2207.08476 (2022) - 2019
- [j24]Jérôme Mendes, Francisco Souza, Rui Araújo, Saeid Rastegar:
Neo-fuzzy neuron learning using backfitting algorithm. Neural Comput. Appl. 31(8): 3609-3618 (2019) - [c42]Jérôme Mendes, Francisco Alexandre A. Souza, Ricardo Maia, Rui Araújo:
Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems. IECON 2019: 3803-3808 - 2018
- [j22]Carlos Alberto Coelho Belchior, Rui Alexandre Matos Araújo, Francisco Alexandre A. Souza, Jorge Afonso Cardoso Landeck:
Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration. Neural Comput. Appl. 30(10): 3265-3276 (2018) - [c38]Francisco Souza, Rui Araújo:
Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process. INDIN 2018: 939-944 - 2017
- [c36]Jérôme Mendes, Francisco Souza, Rui Araújo:
Online evolving fuzzy control design: An application to a CSTR plant. INDIN 2017: 218-225 - [c35]Vasco Ferreira, Francisco Alexandre A. Souza, Rui Araújo:
Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process. INDIN 2017: 257-262 - 2015
- [j16]Leonaldo Silva Gomes, Francisco Souza, Ricardo Silva The Pontes, Tobias R. Fernandes Neto, Rui Alexandre Matos Araújo:
Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models. Int. J. Comput. Intell. Appl. 14(3): 1550013:1-1550013:18 (2015) - 2014
- [j13]Tiago Matias, Francisco Souza, Rui Araújo, Carlos Henggeler Antunes:
Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine. Neurocomputing 129: 428-436 (2014) - [j12]Francisco Souza, Rui Araújo:
Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors. IEEE Trans. Ind. Informatics 10(2): 937-945 (2014) - [c32]Tiago Matias, Francisco Souza, Rui Araújo, Saeid Rastegar, Jérôme Mendes:
Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. IECON 2014: 58-64 - 2013
- [j11]Jérôme Mendes, Rui Araújo, Francisco Souza:
Adaptive fuzzy identification and predictive control for industrial processes. Expert Syst. Appl. 40(17): 6964-6975 (2013) - [c26]Tiago Matias, Dulce Gabriel, Francisco Souza, Rui Araújo, J. Costa Pereira:
Fault detection and replacement of a temperature sensor in a cement rotary kiln. ETFA 2013: 1-8 - 2012
- [j9]Jérôme Mendes, Francisco Souza, Rui Araújo, Nuno Gonçalves:
Genetic fuzzy system for data-driven soft sensors design. Appl. Soft Comput. 12(10): 3237-3245 (2012) - [c24]Jérôme Mendes, Samuel Pinto, Rui Araújo, Francisco Souza:
Evolutionary fuzzy models for nonlinear identification. ETFA 2012: 1-8 - [c22]Francisco Souza, Rui Araújo:
An online variable selection method using recursive least squares. ETFA 2012: 1-8 - 2011
- [c16]Symone G. Soares, Rui Araújo, Pedro Angelo Morais de Sousa, Francisco Souza:
Design and application of Soft Sensor using Ensemble Methods. ETFA 2011: 1-8 - [c15]Francisco Souza, Rui Araújo:
Variable and time-lag selection using empirical data. ETFA 2011: 1-8 - [c14]Francisco Souza, Tiago Matias, Rui Araújo:
Co-evolutionary genetic Multilayer Perceptron for feature selection and model design. ETFA 2011: 1-7 - 2010
- [c11]Jérôme Mendes, Rui Araújo, Francisco Souza:
Adaptive fuzzy generalized predictive control based on Discrete-Time T-S fuzzy model. ETFA 2010: 1-8 - [c10]Francisco Souza, Pedro Santos, Rui Araújo:
Variable and delay selection using neural networks and mutual information for data-driven soft sensors. ETFA 2010: 1-8
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