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Data do documento	Título	Autor(es)	Tipo
2019	Robust echo state network for recursive system identification	Bessa, Renan; Barreto, Guilherme de Alencar	Artigo de Evento
2017	Randomized neural networks for recursive system identification in the presence of outliers: a performance comparison	Mattos, César Lincoln Cavalcante; Barreto, Guilherme de Alencar; Acuña, Gonzalo	Artigo de Evento
2018	A novel tuning method for PD control of robotic manipulators based on minimum jerk principle	Oliveira, Phelipe Wesley de; Barreto, Guilherme de Alencar; Thé, George André Pereira	Artigo de Evento
1998	Competitive and temporal Hebbian learning for production of robot trajectories	Barreto, Guilherme de Alencar; Araújo, Aluízio Fausto Ribeiro	Artigo de Evento
2004	Predictive modeling and planning of robot trajectories using the self-organizing map	Barreto, Guilherme de Alencar; Araújo, Aluízio Fausto Ribeiro	Artigo de Evento
2019	Approximate linear dependence as a design method for Kernel prototype-based classifiers	Coelho, David Nascimento; Barreto, Guilherme de Alencar	Artigo de Evento
1998	The role of excitatory and inhibitory learning in EXIN networks	Barreto, Guilherme de Alencar; Araújo, Aluízio Fausto Ribeiro	Artigo de Evento
2008	Novelty detection in time series through self-organizing networks: an empirical evaluation of two different paradigms	Aguayo, Leonardo; Barreto, Guilherme de Alencar	Artigo de Evento
2011	A SOM-based analysis of early prosodic acquisition of English by Brazilian learners: preliminary results	Silva, Ana Cristina Cunha da; Silva, Ana Cristina Pelosi; Barreto, Guilherme de Alencar	Artigo de Evento
2014	On the efficient design of a prototype-based classifier using differential evolution	Andrade Filho, Luiz Soares de; Barreto, Guilherme de Alencar	Artigo de Evento
2017	Efficient selection of data samples for fault classification by the clustering of the SOM	Sousa, Diego Perdigão; Barreto, Guilherme de Alencar; Medeiros, Cláudio Marques de Sá	Artigo de Evento
2017	Metaheuristic optimization for automatic clustering of customer-oriented supply chain data	Mattos, César Lincoln Cavalcante; Barreto, Guilherme de Alencar; Horstkemper, Dennis; Hellingrath, Bernd	Artigo de Evento
2002	Temporal associative memory and function approximation with the self-organizing map	Barreto, Guilherme de Alencar; Araújo, Aluízio Fausto Ribeiro	Artigo de Evento
2008	On self-organizing feature map (SOFM) formation by direct optimization through a genetic algorithm	Maia, José Everardo Bessa; Barreto, Guilherme de Alencar; Coelho, André Luis Vasconcelos	Artigo de Evento
2006	On recurrent neural networks for auto-similar traffic prediction: a performance evaluation	Menezes, José Wally Mendonça de; Barreto, Guilherme de Alencar	Artigo de Evento
2010	Estimating the number of hidden neurons of the MLP using singular value decomposition and principal components analysis: a novel approach	Santos, José Daniel de Alencar; Barreto, Guilherme de Alencar; Medeiros, Cláudio Marques de Sá	Artigo de Evento
2015	An empirical evaluation of robust gaussian process models for system identification	Mattos, César Lincoln Cavalcante; Santos, José Daniel de Alencar; Barreto, Guilherme de Alencar	Artigo de Evento
2017	Detection of short circuit faults in 3-phase converter-fed induction motors using kernel SOMs	Coelho, David Nascimento; Barreto, Guilherme de Alencar; Medeiros, Cláudio Marques de Sá	Artigo de Evento
2010	Multiple local ARX modeling for system identification using the self-organizing map	Souza, Luís Gustavo Mota; Barreto, Guilherme de Alencar	Artigo de Evento
1999	Unsupervised context-based learning of multiple temporal sequences	Barreto, Guilherme de Alencar; Araújo, Aluízio Fausto Ribeiro	Artigo de Evento