Tiago Matias

Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm

Rui Araújo, Jérôme Mendes, Tiago Matias, 2014, Eng. Appl. Artif. Intell..

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 .

Genetically optimized extreme learning machine

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

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.

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

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

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

Fátima C. C. Dargam, A. Estéve-Núñez, J. M. Ortiz, 2022, Int. J. Decis. Support Syst. Technol..

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).

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.

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.