Multivariable gaussian evolving fuzzy modeling system A Lemos, F Gomide, W Caminhas Fuzzy Systems, IEEE Transactions on 19 (1), 91-104, 2011 | 213 | 2011 |
Adaptive fault detection and diagnosis using an evolving fuzzy classifier A Lemos, W Caminhas, F Gomide Information sciences 220, 64-85, 2013 | 183 | 2013 |
A fast learning algorithm for evolving neo-fuzzy neuron AM Silva, W Caminhas, A Lemos, F Gomide Applied Soft Computing 14, 194-209, 2014 | 109 | 2014 |
Fuzzy evolving linear regression trees A Lemos, W Caminhas, F Gomide Evolving Systems 2, 1-14, 2011 | 66 | 2011 |
Evolving fuzzy systems for pricing fixed income options L Maciel, A Lemos, F Gomide, R Ballini Evolving Systems 3, 5-18, 2012 | 64 | 2012 |
New uninorm-based neuron model and fuzzy neural networks A Lemos, W Caminhas, F Gomide 2010 Annual Meeting of the North American Fuzzy Information Processing …, 2010 | 55 | 2010 |
Evolving clustering algorithm based on mixture of typicalities for stream data mining J Maia, CAS Junior, FG Guimarães, CL de Castro, AP Lemos, ... Future Generation Computer Systems 106, 672-684, 2020 | 51 | 2020 |
Thermal modeling of power transformers using evolving fuzzy systems LM Souza, AP Lemos, WM Caminhas, WC Boaventura Engineering Applications of Artificial Intelligence 25 (5), 980-988, 2012 | 44 | 2012 |
A fast learning algorithm for uninorm-based fuzzy neural networks AP Lemos, W Caminhas, F Gomide 2012 Annual Meeting of the North American Fuzzy Information Processing …, 2012 | 33 | 2012 |
Evolving neo-fuzzy neural network with adaptive feature selection AM Silva, WM Caminhas, AP Lemos, F Gomide 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013 | 26 | 2013 |
Fuzzy multivariable gaussian evolving approach for fault detection and diagnosis A Lemos, W Caminhas, F Gomide Computational Intelligence for Knowledge-Based Systems Design: 13th …, 2010 | 26 | 2010 |
Evolving intelligent systems: Methods, algorithms and applications A Lemos, W Caminhas, F Gomide Emerging paradigms in machine learning, 117-159, 2013 | 24 | 2013 |
Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network A Silva, W Caminhas, A Lemos, F Gomide 2014 IEEE symposium on computational intelligence in control and automation …, 2014 | 22 | 2014 |
Universal approximation with uninorm-based fuzzy neural networks A Lemos, V Kreinovich, W Caminhas, F Gomide 2011 annual meeting of the North American fuzzy information processing …, 2011 | 22 | 2011 |
An anatomy for neural search engines TA Nakamura, PH Calais, D de Castro Reis, AP Lemos Information Sciences 480, 339-353, 2019 | 20 | 2019 |
Fault diagnosis with evolving fuzzy classifier based on clustering algorithm and drift detection M Inacio, A Lemos, W Caminhas Mathematical Problems in Engineering 2015 (1), 368190, 2015 | 17 | 2015 |
Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques TA Nakamura, RM Palhares, WM Caminhas, BR Menezes, ... Journal of the Franklin Institute 354 (6), 2543-2572, 2017 | 15 | 2017 |
Dataset structure as prior information for parameter-free regularization of extreme learning machines LJ Silvestre, AP Lemos, JP Braga, AP Braga Neurocomputing 169, 288-294, 2015 | 15 | 2015 |
Detecçao de falhas: uma revisao com aplicaçoes M D’angelo, RM Palhares, WM Caminhas, RHC Takahashi, RD Maia, ... Tutorias-XVIII Congresso Brasileiro de Automática 1, 1-47, 2010 | 14 | 2010 |
ECG anomalies identification using a time series novelty detection technique AP Lemos, CJ Tierra-Criollo, WM Caminhas IV Latin American Congress on Biomedical Engineering 2007, Bioengineering …, 2008 | 13 | 2008 |