Screening of Obstructive Sleep Apnea by RR Interval Time Series using a Time Series Novelty Detection Technique. - André Paim Lemos; Carlos Julio Tierra-Criollo; Walmir M. Caminhas (BIOSIGNALS (2), 2008)

Evolving fuzzy linear regression trees. - André Paim Lemos; Walmir Matos Caminhas; Fernando A. C. Gomide (FUZZ-IEEE, 2010)

Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis. - André Paim Lemos; Walmir M. Caminhas; Fernando A. C. Gomide (IPMU, 2010)

Evolving fuzzy linear regression trees with feature selection. - André Paim Lemos; Walmir M. Caminhas; Fernando A. C. Gomide (EAIS, 2011)

Fuzzy evolving linear regression trees. - André Paim Lemos; Walmir M. Caminhas; Fernando A. C. Gomide (Evol. Syst., 2011)

Multivariable Gaussian Evolving Fuzzy Modeling System. - André Paim Lemos; Walmir M. Caminhas; Fernando A. C. Gomide (IEEE Trans. Fuzzy Syst., 2011)

Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products. - André Paim Lemos; Daniel F. Leite; Leandro Maciel; Rosangela Ballini; Walmir M. Caminhas; Fernando A. C. Gomide (FUZZ-IEEE, 2012)

Evolving Neural Fuzzy Network with Adaptive Feature Selection. - Alisson Marques Silva; Walmir Matos Caminhas; André Paim Lemos; Fernando A. C. Gomide (ICMLA (2), 2012)

Thermal modeling of power transformers using evolving fuzzy systems. - Leonardo Mendes de Souza; André Paim Lemos; Walmir M. Caminhas; W. C. Boaventura (Eng. Appl. Artif. Intell., 2012)

Evolving fuzzy systems for pricing fixed income options. - Leandro Maciel; André Paim Lemos; Fernando A. C. Gomide; Rosangela Ballini (Evol. Syst., 2012)

Adaptive fault detection and diagnosis using an evolving fuzzy classifier. - André Paim Lemos; Walmir M. Caminhas; Fernando A. C. Gomide (Inf. Sci., 2013)

System Modeling and Forecasting with Evolving Fuzzy Algorithms. - André Paim Lemos; Rosangela Ballini; Walmir M. Caminhas; Fernando A. C. Gomide (Soft Computing: State of the Art Theory and Novel Applications, 2013)

Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network. - Alisson Marques Silva; Walmir M. Caminhas; André Paim Lemos; Fernando A. C. Gomide (CICA, 2014)

A batch-incremental process fault detection and diagnosis using mixtures of probablistic PCA. - Thiago Akio Nakamura; André Paim Lemos (EAIS, 2014)

A new approach for multiple instance learning based on a homogeneity bag operator. - Alexandre Wagner Chagas Faria; David Menotti; André Paim Lemos; Antônio de Pádua Braga (ESANN, 2014)

Parameter-free regularization in Extreme Learning Machines with affinity matrices. - Leonardo José Silvestre; André Paim Lemos; João Pedro Braga; Antônio de Pádua Braga (ESANN, 2014)

A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks. - Luiz C. B. Torres; André P. Lemos; Cristiano Leite Castro; Antônio P. Braga (ICANN, 2014)

A fast learning algorithm for evolving neo-fuzzy neuron. - Alisson Marques Silva; Walmir M. Caminhas; André Paim Lemos; Fernando A. C. Gomide (Appl. Soft Comput., 2014)

An affinity matrix approach for structure selection of extreme learning machines. - David Pinto 002; André P. Lemos; Antônio P. Braga (ESANN, 2015)

Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting. - Leandro Maciel; André Paim Lemos; Rosangela Ballini; Fernando A. C. Gomide (IFSA-EUSFLAT, 2015)

Multivariate statistical process control of boiler and turbine-generator units of a Thermoelectric Power Plant with multiple operating set points. - Bruno M. Sousa; Andre Lebedev; Joyce Ferreira; Webber E. Aguiar; Carmela M. P. Braga; Anisio R. Braga; André P. Lemos (ICIT, 2015)

Adaptive Input Selection and Evolving Neural Fuzzy Networks Modeling. - Alisson Marques Silva; Walmir M. Caminhas; André P. Lemos; Fernando A. C. Gomide (Int. J. Comput. Intell. Syst., 2015)

Dataset structure as prior information for parameter-free regularization of extreme learning machines. - Leonardo José Silvestre; André Paim Lemos; João Pedro Braga; Antônio de Pádua Braga (Neurocomputing, 2015)

Monitoring of a thermoelectric power plant based on multivariate statistical process control. - Joyce M. F. Fonseca; Bruno M. Sousa; Webber E. Aguiar; Anisio R. Braga; André P. Lemos; Hugo C. C. Michel; Carmela M. P. Braga (EAIS, 2016)

MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation. - Alexandre W. C. Faria; Frederico Gualberto F. Coelho; Alisson Marques da Silva; Honovan P. Rocha; Gustavo Matheus de Almeida; André P. Lemos; Antônio P. Braga (Eng. Appl. Artif. Intell., 2017)

Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques. - Thiago Akio 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 (J. Frankl. Inst., 2017)

Cryptocurrencies Transactions Advisor Using a Genetic Mamdani-type Fuzzy Rules Based System. - Taiguara Melo Tupinambás; Rafael Aeraf Leão Cadence; André Paim Lemos (FUZZ-IEEE, 2018)

An anatomy for neural search engines. - Thiago Akio Nakamura; Pedro H. Calais; Davi de Castro Reis; André Paim Lemos (Inf. Sci., 2019)

Evolving clustering algorithm based on mixture of typicalities for stream data mining. - José Maia; Carlos Alberto Severiano Junior; Frederico Gadelha Guimarães; Cristiano Leite Castro; André Paim Lemos; Juan Camilo Fonseca Galindo; Miri Weiss-Cohen (Future Gener. Comput. Syst., 2020)

Evolving Fuzzy System with Multivariable Gaussian Participatory Learning and Recursive Maximum Correntropy - eFCE. - Fernanda P. S. Rodrigues; Alisson Marques Silva; André Paim Lemos (FUZZ-IEEE, 2021)

Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning. - Gabriela de Castro Surita; André P. Lemos; Fernando A. C. Gomide (NAFIPS, 2021)

Evolving Systems. - Fernando A. C. Gomide; André P. Lemos; Walmir M. Caminhas (Fuzzy Approaches for Soft Computing and Approximate Reasoning, 2021)

A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining. - Juan Camilo Fonseca Galindo; Gabriela de Castro Surita; José Maia Neto; Cristiano Leite de Castro; André Paim Lemos (Expert Syst. Appl., 2022)

Evolving fuzzy predictor with multivariable Gaussian participatory learning and multi-innovations recursive weighted least squares: eFMI. - Fernanda P. S. Rodrigues; Alisson Marques Silva; André Paim Lemos (Evol. Syst., 2022)