| Review of soft sensor methods for regression applications FAA Souza, R Araújo, J Mendes Chemometrics and Intelligent Laboratory Systems 152, 69-79, 2016 | 346 | 2016 |
| Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine T Matias, F Souza, R Araújo, CH Antunes Neurocomputing 129, 428-436, 2014 | 113 | 2014 |
| Adaptive fuzzy identification and predictive control for industrial processes J Mendes, R Araújo, F Souza Expert Systems with Applications 40 (17), 6964-6975, 2013 | 73 | 2013 |
| Online mixture of univariate linear regression models for adaptive soft sensors F Souza, R Araújo IEEE Transactions on Industrial Informatics 10 (2), 937-945, 2013 | 53 | 2013 |
| Genetic fuzzy system for data-driven soft sensors design J Mendes, F Souza, R Araújo, N Gonçalves Applied Soft Computing 12 (10), 3237-3245, 2012 | 51 | 2012 |
| A multilayer-perceptron based method for variable selection in soft sensor design FAA Souza, R Araújo, T Matias, J Mendes Journal of Process Control 23 (10), 1371-1378, 2013 | 49 | 2013 |
| Variable and delay selection using neural networks and mutual information for data-driven soft sensors F Souza, P Santos, R Araújo 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation …, 2010 | 48 | 2010 |
| Mixture of partial least squares experts and application in prediction settings with multiple operating modes FAA Souza, R Araújo Chemometrics and Intelligent Laboratory Systems 130, 192-202, 2014 | 44 | 2014 |
| On-line sequential extreme learning machine based on recursive partial least squares T Matias, F Souza, R Araújo, N Gonçalves, JP Barreto Journal of Process Control 27, 15-21, 2015 | 36 | 2015 |
| Co-evolutionary genetic multilayer perceptron for feature selection and model design F Souza, T Matias, R Araójo ETFA2011, 1-7, 2011 | 28 | 2011 |
| Variable and time-lag selection using empirical data F Souza, R Araújo ETFA2011, 1-8, 2011 | 27 | 2011 |
| Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration CAC Belchior, RAM Araújo, FAA Souza, JAC Landeck Neural Computing and Applications 30, 3265-3276, 2018 | 25 | 2018 |
| Applying probabilistic mixture models to semantic place classification in mobile robotics C Premebida, DR Faria, FA Souza, U Nunes 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 25 | 2015 |
| High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection F Souza, C Premebida, R Araújo Pattern Recognition 131, 108895, 2022 | 24 | 2022 |
| Self-evolving fuzzy controller composed of univariate fuzzy control rules J Mendes, R Maia, R Araújo, FAA Souza Applied Sciences 10 (17), 5836, 2020 | 22 | 2020 |
| Adaptive fuzzy generalized predictive control based on Discrete-Time TS fuzzy model J Mendes, R Araújo, F Souza 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation …, 2010 | 19 | 2010 |
| Fault detection and replacement of a temperature sensor in a cement rotary kiln T Matias, D Gabriel, F Souza, R Araújo, JC Pereira 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation …, 2013 | 18 | 2013 |
| Design and application of soft sensor using ensemble methods S Soares, R Araújo, P Sousa, F Souza ETFA2011, 1-8, 2011 | 16 | 2011 |
| Contextual mixture of experts: Integrating knowledge into predictive modeling F Souza, T Offermans, R Barendse, G Postma, J Jansen IEEE Transactions on Industrial Informatics 19 (8), 9048-9059, 2022 | 12 | 2022 |
| Neo-fuzzy neuron learning using backfitting algorithm J Mendes, F Souza, R Araújo, S Rastegar Neural Computing and Applications 31, 3609-3618, 2019 | 12 | 2019 |
Rui AraújoUniversity of CoimbraVerified email at isr.uc.pt