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Escuela Técnica Superior de Ingenieros, Universidad de Sevilla ** Dept. de Lenguajes y Computación, Área de Ingeniería de Sistemas y Automática, Universidad de Almería. 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In particular, this is a fundamental issue in the Machine Learning (ML) area, ... [citation][year=2016]Natural vs. random protein sequences: Discovering combinatorics properties on amino acid words D Santoni, G Felici, D Vergni - Journal of theoretical biology, 2016 - Elsevier Abstract Casual mutations and natural selection have driven the evolution of protein amino acid sequences that we observe at present in nature. The question about which is the dominant force of proteins evolution is still lacking of an unambiguous answer. Casual ... 2010(1 publication) [publication]Victor, J. and Pereira, C. and António Dourado , "Building Interpretable Systems in Real Time", in Evolving Intelligent Systems: Methodology and Applications, pp. 127-150, 2010 [citation][year=2015]GSETSK: a generic self-evolving TSK fuzzy neural network with a novel Hebbian-based rule reduction approach NN Nguyen, WJ Zhou, C Quek - Applied Soft Computing, 2015 - Elsevier Abstract Takagi–Sugeno–Kang (TSK) fuzzy systems have been widely applied for solving function approximation and regression-centric problems. Existing dynamic TSK models proposed in the literature can be broadly classified into two classes. Class I TSK models ... [citation][year=2013]On-line assurance of interpretability criteria in evolving fuzzy systems–achievements, new concepts and open issues E Lughofer - Information Sciences, 2013 - Elsevier Abstract In this position paper, we are discussing achievements and open issues in the interpretability of evolving fuzzy systems (EFS). In addition to pure on-line complexity reduction approaches, which can be an important direction for increasing the ... [citation][year=2012]Introducing evolving Takagi–Sugeno method based on local least squares support vector machine models M Komijani, C Lucas, BN Araabi, A Kalhor - Evolving Systems, 2012 - Springer Abstract In this study, an efficient local online identification method based on the evolving Takagi–Sugeno least square support vector machine (eTS-LS-SVM) for nonlinear time series prediction is introduced. As an innovation, this paper has applied the nonlinear ... [citation][year=2011]LIVRO] Evolving fuzzy systems-methodologies, advanced concepts and applications E Lughofer - 2011 - Springer In today's industrial systems, economic markets, life and health-care sciences fuzzy systems play an important role in many application scenarios such as system identification, fault detection and diagnosis, quality control, instrumentation and control, decision support .. [citation][year=2011]Human-inspired evolving machines—the next generation of evolving intelligent systems E Lughofer - IEEE SMC newsletter, 2011 - my-smc.org Abstract: In today's real-world applications, there is an increasing need to integrate new information and knowledge into model-building processes to account for changing system dynamics, new operating conditions or environmental influences. This is essential to ... 2000(1 publication) [publication]António Dourado and Henriques, J. and Victor, J. and Pereira, C. , "Comparasion of Real-Time Learning Techniques in a Laboratory Process", in Lectures Notes on Iterative Identification and Control Design, 2000