Walmir M. Caminhas - researchr alias

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Viewing Publication 1 - 45 from 45

2021

Evolving SystemsFernando A. C. Gomide, André P. Lemos, Walmir M. Caminhas. In Marie-Jeanne Lesot, Christophe Marsala, editors, Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications - Dedicated to Bernadette Bouchon-Meunier. Volume 394 of Studies in Fuzziness and Soft Computing, pages 169-178, Springer, 2021. [doi]

2018

A recursive algorithm for estimating multiple models continuous transfer function with non-uniform samplingAnisio R. Braga, Walmir M. Caminhas, Carmela M. P. Braga. ijsysc, 49(6):1131-1145, 2018. [doi]

A novel fault prognostic approach based on particle filters and differential evolutionLuciana B. Cosme, Marcos F. S. V. D'Angelo, Walmir M. Caminhas, Shen Yin, Reinaldo M. Palhares. apin, 48(4):834-853, 2018. [doi]

2017

Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniquesThiago Nakamura, Reinaldo M. Palhares, Walmir M. Caminhas, Benjamin Rodrigues de Menezes, Mário César Mello de Massa Campos, Ubirajara Fumega, Carlos H. de M. Bomfim, André P. Lemos. jfi, 354(Issue):2543-2572, 2017. [doi]

2015

Adaptive Input Selection and Evolving Neural Fuzzy Networks ModelingAlisson Marques Silva, Walmir M. Caminhas, André P. Lemos, Fernando Gomide. ijcisys, 8(sup1):3-14, 2015. [doi]

2014

2013

Adaptive fault detection and diagnosis using an evolving fuzzy classifierAndré Paim Lemos, Walmir M. Caminhas, Fernando Gomide. isci, 220:64-85, 2013. [doi]

System Modeling and Forecasting with Evolving Fuzzy AlgorithmsAndré Paim Lemos, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide. In Ronald R. Yager, Ali M. Abbasov, Marek Z. Reformat, Shahnaz N. Shahbazova, editors, Soft Computing: State of the Art Theory and Novel Applications. Volume 291 of Studies in Fuzziness and Soft Computing, pages 255-268, Springer, 2013. [doi]

2012

2011

Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian change point detection approachMarcos F. S. V. D Angelo, Reinaldo M. Palhares, Ricardo H. C. Takahashi, Rosangela Helena Loschi, Lane M. R. Baccarini, Walmir M. Caminhas. asc, 11(1):179-192, 2011. [doi]

SVM practical industrial application for mechanical faults diagnosticLane Maria Rabelo Baccarini, Valceres Vieira Rocha e Silva, Benjamin Rodrigues de Menezes, Walmir M. Caminhas. eswa, 38(6):6980-6984, 2011. [doi]

Design of a pipeline leakage detection using expert system: A novel approachC. A. Laurentys, C. H. M. Bomfim, B. R. Menezes, Walmir M. Caminhas. asc, 11(1):1057-1066, 2011. [doi]

A novel Artificial Immune System for fault behavior detectionC. A. Laurentys, Reinaldo M. Palhares, Walmir M. Caminhas. eswa, 38(6):6957-6966, 2011. [doi]

Fuzzy evolving linear regression treesAndré Paim Lemos, Walmir M. Caminhas, Fernando Gomide. evs, 2(1):1-14, 2011. [doi]

Evolving fuzzy linear regression trees with feature selectionAndre Lemos, Walmir M. Caminhas, Fernando Gomide. eais 2011: 31-38 [doi]

Multivariable Gaussian Evolving Fuzzy Modeling SystemAndré Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide. tfs, 19(1):91-104, 2011. [doi]

2010

Design of an Artificial Immune System for fault detection: A Negative Selection ApproachC. A. Laurentys, G. Ronacher, Reinaldo M. Palhares, Walmir M. Caminhas. eswa, 37(7):5507-5513, 2010. [doi]

Design of an artificial immune system based on Danger Model for fault detectionC. A. Laurentys, Reinaldo M. Palhares, Walmir M. Caminhas. eswa, 37(7):5145-5152, 2010. [doi]

Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and DiagnosisAndré Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide. ipmu 2010: 360-369 [doi]

2009

A review of machine learning approaches to Spam filteringThiago S. Guzella, Walmir M. Caminhas. eswa, 36(7):10206-10222, 2009. [doi]

2008

A genetic algorithm for multiobjective training of ANFIS fuzzy networksEduardo G. Carrano, Ricardo H. C. Takahashi, Walmir M. Caminhas, Oriane M. Neto. cec 2008: 3259-3265 [doi]

Artificial Immune Systems and Kernel MethodsThiago S. Guzella, Tomaz A. Mota-Santos, Walmir M. Caminhas. icaris 2008: 303-315 [doi]

Identification of SPAM messages using an approach inspired on the immune systemThiago S. Guzella, Tomaz A. Mota-Santos, Joaquim Quinteiro Uchôa, Walmir M. Caminhas. biosystems, 92(3):215-225, 2008. [doi]

Screening of Obstructive Sleep Apnea by RR Interval Time Series using a Time Series Novelty Detection TechniqueAndré Paim Lemos, Carlos Julio Tierra-Criollo, Walmir M. Caminhas. biostec 2008: 570-575

The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization ProblemDouglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas. tnn, 19(8):1415-1430, 2008. [doi]

2007

2006

Modelling the Control of an Immune Response Through Cytokine SignallingThiago S. Guzella, Tomaz A. Mota-Santos, Joaquim Quinteiro Uchôa, Walmir M. Caminhas. icaris 2006: 9-22 [doi]

2005

A New Neurofuzzy Controller Applied to Vector Control of Induction MotorsMarlon R. de Gouvêa, Eduardo S. Figueiredo, B. R. Menezes, Lane M. R. Baccarini, A. V. Pires, Walmir M. Caminhas. iastedCI 2005: 73-78

On Computing Complex Navigation FunctionsLuciano C. A. Pimenta, Alexandre R. Fonseca, Guilherme A. S. Pereira, Renato C. Mesquita, Elson Silva, Walmir M. Caminhas, Mario Fernando Montenegro Campos. icra 2005: 3452-3457

2003

Parallel layer perceptronWalmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos. ijon, 55(3-4):771-778, 2003. [doi]

2002

Fault Detection and Diagnosis in Duals Converters Applied in DC DrivesMarlon R. de Gouvêa, Lane M. R. Baccarini, Walmir M. Caminhas. sbrn 2002: 110 [doi]

Online Neofuzzy Neuron Flux Observer for Induction Motor DrivesRégis P. Landim, Francisco A. S. Neves, Selênio R. Silva, Walmir M. Caminhas, Benjamin Rodrigues de Menezes. jaciii, 6(2):84-92, 2002. [doi]

2000

On-Line Neo-Fuzzy-Neuron State ObserverRégis P. Landim, Benjamin Rodrigues de Menezes, Selênio R. Silva, Walmir M. Caminhas. sbrn 2000: 196-201 [doi]

1999

Fuzzy Set Based Neural Networks: Structure, Learning and ApplicationWalmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz. jaciii, 3(3):151-157, 1999. [doi]

Nonlinear System Identification Using a Neo Fuzzy Neuron Algorithm: Electrical Drive ApplicationRégis P. Landim, Benjamin Rodrigues de Menezes, Selênio R. Silva, Walmir M. Caminhas. IJNS, 9(3):211-217, 1999. [doi]

1998

A Neo-Fuzzy-Neuron with Real-Time Training Applied to Flux Observer for an Induction MotoRégis P. Landim, Benjamin Rodrigues de Menezes, Selênio R. Silva, Walmir M. Caminhas. sbrn 1998: 67-72 [doi]

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