Rui Araújo – Softwares

Repositories
Below there are some links to softwares associated to research works and publications.


Mixture partial least square experts (Mix-PLS)
The Mix-PLS is a mixture of experts models based on the partial least squares (PLS) algorithm. It was designed to be applied in prediction settings composed by multiple operating modes and/or non-linear carachteristics. The MIX-PLS can be downloaded below.

  • Mix-PLS Toolbox source code (Matlab implementation)
    In case of publication please cite the original paper: Francisco A. A. Souza and Rui Araújo. Mixture of partial least squares experts and application in prediction settings with multiple operating modes. Chemometrics and Intelligent Laboratory Systems, 130:192–202, January 2014. [ bib | DOI | .pdf ].


Optimized extreme learning machine (O-ELM)
The O-ELM is a extreme learning machine (ELM) based model where the input connections and the hidden layers are selected based on genetic algorithms in a way to optmize the ELM model performance. The O-ELM-PLS can be downloaded below.

  • O-ELM Toolbox source code (Matlab implementation)
    In case of publication please cite the paper: Tiago Matias, Francisco Souza, Rui Araújo, and Carlos Henggeler Antunes. Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine. Neurocomputing, 129:428–436, April 2014. [ bib | DOI | .pdf ].


Online mixture of univariate linear regression models (MULRM)
The MULRM is an online mixture of univariate models for regression.

  • MULRM Toolbox source code (Matlab implementation)
    In case of publication please cite the paper: Francisco Souza and Rui Araújo. Online mixture of univariate linear regression models for adaptive soft sensors. IEEE Transactions on Industrial Informatics, 10(2):937–945, May 2014. [ bib | DOI | .pdf ].


Fuzzy logic model for regenerative braking (FLmRB)
A fuzzy logic toolbox for modeling vehicle regenerative braking.

  • FLmRB Toolbox source code (Matlab implementation)
    In case of publication please cite the paper: Ricardo Maia, Marco Silva, Rui Araújo, and Urbano Nunes. Electrical vehicle modeling: A fuzzy logic model for regenerative braking. Expert Systems with Applications, 42(22):8504–8519, December 2015. [ bib | DOI | .pdf ].


On-line weighted ensemble (OWE) of regressor models to handle concept drifts
A toolbox of an on-line weighted ensemble (OWE) of regressor models to handle concept drifts.

  • OWE Toolbox source code (Matlab implementation)
    In case of publication please cite the paper: Symone Gomes Soares and Rui Araújo. An on-line weighted ensemble of regressor models to handle concept drifts. Engineering Applications of Artificial Intelligence, 37:392–406, January 2015. [ bib | DOI | .pdf ].


Dynamic and on-line ensemble regression (DOER) for changing environments
A toolbox for dynamic and on-line ensemble regression (DOER) for changing environments.

  • DOER Toolbox source code (Matlab implementation)
    In case of publication please cite the paper: Symone G. Soares and Rui Araújo. A dynamic and on-line ensemble regression for changing environments. Expert Systems with Applications, 42(6):2935–2948, April 2015. [ bib | DOI | .pdf ].


Adaptive ensemble of on-line extreme learning machines (OEOA)
A toolbox of an adaptive ensemble of on-line extreme learning machines (OEOA) for non-stationary, time-varying, system prediction.

  • OEOA Toolbox source code (Matlab implementation)
    In case of publication please cite the paper: Symone G. Soares and Rui Araújo. An adaptive ensemble of on-line extreme learning machines with variable forgetting factor for dynamic system prediction. Neurocomputing, 171:693–707, January 2016. [ bib | DOI | .pdf ].


The Self-Tuning PID Controllers Toolbox
A toolbox of self-tuning PID controllers toolbox associated to the paper below.

  • The Self-Tuning PID Controllers Toolbox (Scilab implementation)
    In case of publication please cite the paper: Jérôme Mendes, Luís Osório, and Rui Araújo. Self-tuning pid controllers in pursuit of plug and play capacity. Control Engineering Practice, 69:73–84, December 2017. [ bib | DOI | .pdf ].


Eigenvalue decay for neural network regularization
A toolbox for neural network regularization.

  • Source code (Matlab implementation)
    In case of publication please cite the paper: Oswaldo Ludwig, Urbano Nunes, and Rui Araújo. Eigenvalue decay: a new method for neural network regularization. Neurocomputing, 124:33–42, January 2014. [ bib | DOI | .pdf ].



University of Coimbra  Department of Electrical and Computer Engineering - University of Coimbra  Institute of Systems and Robotics - University of Coimbra