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André P. Lemos
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- affiliation: Federal University of Minas Gerais, Department of Electronic Engineering, Belo Horizonte, MG, Brazil
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2020 – today
- 2022
- [j14]Juan Camilo Fonseca Galindo
, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro
A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining. Expert Syst. Appl. 195: 116602 (2022) - [j13]Fernanda P. S. Rodrigues
Evolving fuzzy predictor with multivariable Gaussian participatory learning and multi-innovations recursive weighted least squares: eFMI. Evol. Syst. 13(5): 667-686 (2022) - 2021
- [c18]Fernanda P. S. Rodrigues
Evolving Fuzzy System with Multivariable Gaussian Participatory Learning and Recursive Maximum Correntropy - eFCE. FUZZ-IEEE 2021: 1-6 - [c17]Gabriela de Castro Surita, André P. Lemos, Fernando A. C. Gomide:
Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning. NAFIPS 2021: 436-446 - [p2]Fernando A. C. Gomide, André P. Lemos, Walmir M. Caminhas
Evolving Systems. Fuzzy Approaches for Soft Computing and Approximate Reasoning 2021: 169-178 - 2020
- [j12]José Maia, Carlos Alberto Severiano Junior, Frederico Gadelha Guimarães
Evolving clustering algorithm based on mixture of typicalities for stream data mining. Future Gener. Comput. Syst. 106: 672-684 (2020) - [i1]Juan Camilo Fonseca Galindo, Gabriela de Castro Surita, José Maia Neto, Cristiano Leite de Castro, André Paim Lemos:
A Multi-Agent System for Solving the Dynamic Capacitated Vehicle Routing Problem with Stochastic Customers using Trajectory Data Mining. CoRR abs/2009.12691 (2020)
2010 – 2019
- 2019
- [j11]Thiago Akio Nakamura
An anatomy for neural search engines. Inf. Sci. 480: 339-353 (2019) - 2018
- [c16]Taiguara Melo Tupinambás, Rafael Aeraf Leão Cadence, André Paim Lemos:
Cryptocurrencies Transactions Advisor Using a Genetic Mamdani-type Fuzzy Rules Based System. FUZZ-IEEE 2018: 1-7 - 2017
- [j10]Alexandre W. C. Faria, Frederico Gualberto F. Coelho, Alisson Marques da Silva
MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation. Eng. Appl. Artif. Intell. 59: 196-204 (2017) - [j9]Thiago Akio Nakamura, Reinaldo M. Palhares
Adaptive fault detection and diagnosis using parsimonious Gaussian mixture models trained with distributed computing techniques. J. Frankl. Inst. 354(6): 2543-2572 (2017) - 2016
- [c15]Joyce M. F. Fonseca, Bruno M. Sousa, Webber E. Aguiar, Anisio R. Braga, André P. Lemos, Hugo C. C. Michel
Monitoring of a thermoelectric power plant based on multivariate statistical process control. EAIS 2016: 49-56 - 2015
- [j8]Alisson Marques Silva
Adaptive Input Selection and Evolving Neural Fuzzy Networks Modeling. Int. J. Comput. Intell. Syst. 8(sup1): 3-14 (2015) - [j7]Leonardo José Silvestre, André Paim Lemos, João Pedro Braga
Dataset structure as prior information for parameter-free regularization of extreme learning machines. Neurocomputing 169: 288-294 (2015) - [c14]David Pinto, André P. Lemos, Antônio P. Braga:
An affinity matrix approach for structure selection of extreme learning machines. ESANN 2015 - [c13]Leandro Maciel, André Paim Lemos, Rosangela Ballini, Fernando A. C. Gomide:
Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting. IFSA-EUSFLAT 2015 - [c12]Bruno M. Sousa, Andre Lebedev, Joyce Ferreira, Webber E. Aguiar, Carmela M. P. Braga
Multivariate statistical process control of boiler and turbine-generator units of a Thermoelectric Power Plant with multiple operating set points. ICIT 2015: 1907-1913 - 2014
- [j6]Alisson Marques Silva
A fast learning algorithm for evolving neo-fuzzy neuron. Appl. Soft Comput. 14: 194-209 (2014) - [c11]Alisson Marques Silva
Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network. CICA 2014: 29-36 - [c10]Thiago Akio Nakamura, André Paim Lemos:
A batch-incremental process fault detection and diagnosis using mixtures of probablistic PCA. EAIS 2014: 1-8 - [c9]Alexandre Wagner Chagas Faria, David Menotti, André Paim Lemos, Antônio de Pádua Braga:
A new approach for multiple instance learning based on a homogeneity bag operator. ESANN 2014 - [c8]Leonardo José Silvestre, André Paim Lemos, João Pedro Braga, Antônio de Pádua Braga:
Parameter-free regularization in Extreme Learning Machines with affinity matrices. ESANN 2014 - [c7]Luiz C. B. Torres, André P. Lemos, Cristiano Leite Castro
A Geometrical Approach for Parameter Selection of Radial Basis Functions Networks. ICANN 2014: 531-538 - 2013
- [j5]André Paim Lemos, Walmir M. Caminhas
Adaptive fault detection and diagnosis using an evolving fuzzy classifier. Inf. Sci. 220: 64-85 (2013) - [p1]André Paim Lemos, Rosangela Ballini, Walmir M. Caminhas
System Modeling and Forecasting with Evolving Fuzzy Algorithms. Soft Computing: State of the Art Theory and Novel Applications 2013: 255-268 - 2012
- [j4]Leonardo Mendes de Souza, André Paim Lemos, Walmir M. Caminhas
Thermal modeling of power transformers using evolving fuzzy systems. Eng. Appl. Artif. Intell. 25(5): 980-988 (2012) - [j3]Leandro Maciel
Evolving fuzzy systems for pricing fixed income options. Evol. Syst. 3(1): 5-18 (2012) - [c6]André Paim Lemos, Daniel F. Leite
Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products. FUZZ-IEEE 2012: 1-8 - [c5]Alisson Marques Silva
Evolving Neural Fuzzy Network with Adaptive Feature Selection. ICMLA (2) 2012: 440-445 - 2011
- [j2]André Paim Lemos, Walmir M. Caminhas
Fuzzy evolving linear regression trees. Evol. Syst. 2(1): 1-14 (2011) - [j1]André Paim Lemos, Walmir M. Caminhas
Multivariable Gaussian Evolving Fuzzy Modeling System. IEEE Trans. Fuzzy Syst. 19(1): 91-104 (2011) - [c4]André Paim Lemos, Walmir M. Caminhas
Evolving fuzzy linear regression trees with feature selection. EAIS 2011: 31-38 - 2010
- [c3]André Paim Lemos, Walmir Matos Caminhas
Evolving fuzzy linear regression trees. FUZZ-IEEE 2010: 1-8 - [c2]André Paim Lemos, Walmir M. Caminhas
Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis. IPMU 2010: 360-369
2000 – 2009
- 2008
- [c1]André Paim Lemos, Carlos Julio Tierra-Criollo, Walmir M. Caminhas:
Screening of Obstructive Sleep Apnea by RR Interval Time Series using a Time Series Novelty Detection Technique. BIOSIGNALS (2) 2008: 570-575
Coauthor Index
aka: Walmir Matos Caminhas
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