Conference Articles 2009(4 publications) [publication]Aires, L. and Araújo, J. and António Dourado , "Industrial Monitoring by Evolving Fuzzy Systems", in IFSA2009/EUSFLAT09, the 2009 International Fuzzy Systems Association World Congress and 2009 International Conference of the European Society for Fuzzy Logic and Technology, 2009 [citation][year=2015]Implementation of evolving fuzzy models of a nonlinear process RE Precup, EI Voisan, EM Petriu… - Informatics in Control …, 2015 - ieeexplore.ieee.org Abstract: This paper presents details on the implementation of evolving Takagi-Sugeno- Kang (TSK) fuzzy models of a nonlinear process represented by the pendulum dynamics in the framework of the representative pendulum-crane systems. The pendulum angle is the ... [citation][year=2014]Online identification of evolving Takagi–Sugeno–Kang fuzzy models for crane systems RE Precup, HI Filip, MB R?dac, EM Petriu, S Preitl… - Applied Soft …, 2014 - Elsevier Abstract This paper suggests new evolving Takagi–Sugeno–Kang (TSK) fuzzy models dedicated to crane systems. A set of evolving TSK fuzzy models with different numbers of inputs are derived by the novel relatively simple and transparent implementation of an ... [citation][year=2009]1. Radu-Emil Precup1, Radu-Codruţ David1, Stefan Preitl1, Emil M. Petriu2 2009 [PDF] de ni.ac.rsUPSO ALGORITHMS - facta.junis.ni.ac.rs 1"Politehnica" University of Timisoara, Department of Automation and Applied Informatics, [publication]Bruno Direito and António Dourado and Teixeira, C. and Aires, L. and Costa, R. and Schelter, B. and LeVanQuyen, M. , "EPILAB: A Matlab® Platform for Multi-Feature and Multi-Algorithm Seizure Prediction Studies", in 4th International Workshop on Seizure Prediction, 2009 [publication]António Dourado and Aires, L. and Victor, J. , "eFSLab: Developing Evolving Fuzzy Systems from Data in a Friendly Environment", in 10th European Control Conference, 2009 [citation][year=2011]Adaptive kernel smoothing regression using vector quantization FM Pouzols, A Lendasse - Evolving and Adaptive Intelligent …, 2011 - ieeexplore.ieee.org [citation][year=2010]Evolving fuzzy optimally pruned extreme learning machine: A comparative analysis FM Pouzols, A Lendasse - Fuzzy Systems (FUZZ), 2010 IEEE …, 2010 - ieeexplore.ieee.org [citation][year=2010]Evolving fuzzy optimally pruned extreme learning machine for regression problems FM Pouzols, A Lendasse - Evolving Systems, 2010 - Springer [publication]António Dourado and Ssilva, S. and Aires, L. and Araújo, J. , "Combining multidimensional scaling and computational intelligence for industrial monitoring", in 90th Industrial Conference on Data Mining ICDM 2009, vol. 5633, 2009 [citation][year=2014]Heterogeneous network analysis on academic collaboration networks Q Meng - 2014 - opus.lib.uts.edu.au Heterogeneous networks are a type of complex network model which can have multi-type objects and relationships. Nowadays, research on heterogeneous networks has been increasingly attracting interest because these networks are more advantageous in ... 2008(1 publication) [publication]António Dourado and Victor, J. and Aires, L. , "eTS with Rule Base Simplification and Reduction for Knowledge Extraction from Data Sets", in CLAIO- Congresso Latino Americano de Investigacion de Operationes, 2008