Eufrásio de Andrade Lima Neto

20 papers B 5Misc 2Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
CLAIRE: clustering evaluation based on item response theory and model agreement.
Mach. Learn.
Manuel Ferreira Junior, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2025 J jnl
Process Monitoring Using Robust Regression Control Charts.
Qual. Reliab. Eng. Int.
Eufrásio de Andrade Lima Neto, Cristine Rauber, Hozana Francielle do Nascimento Borges, Luiz Medeiros de Araujo Lima-Filho
2023 J jnl
Kernel robust singular value decomposition.
Expert Syst. Appl.
Eufrásio de Andrade Lima Neto, Paulo C. Rodrigues
2021 J jnl
A clusterwise nonlinear regression algorithm for interval-valued data.
Inf. Sci.
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Kassio C. F. da Silva
2021 J jnl
Interval joint robust regression method.
Neurocomputing
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Ullysses da N. Rosendo
2021 J jnl
On wavelet to select the parametric form of a regression model.
Commun. Stat. Simul. Comput.
Eufrásio de Andrade Lima Neto, Aluísio Pinheiro, Adenice Gomes de Oliveira Ferreira
2018 J jnl
An exponential-type kernel robust regression model for interval-valued variables.
Inf. Sci.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2017 J jnl
A robust regression method based on exponential-type kernel functions.
Neurocomputing
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira
2017 J jnl
Nonlinear regression applied to interval-valued data.
Pattern Anal. Appl.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2012 B conf
A pattern classifier for interval-valued data based on multinomial logistic regression model.
SMC
Alberto Pereira de Barros, Francisco de Assis Tenório de Carvalho, Eufrásio de Andrade Lima Neto
2010 J jnl
Constrained linear regression models for symbolic interval-valued variables.
Comput. Stat. Data Anal.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2009 B conf
Bivariate Generalized Linear Model for Interval-Valued Variables.
IJCNN
Eufrásio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa
2008 J jnl
Centre and Range method for fitting a linear regression model to symbolic interval data.
Comput. Stat. Data Anal.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2008 B conf
Nonlinear regression model to symbolic interval-valued variables.
SMC
Eufrásio de Andrade Lima Neto, Francisco de Assis Tenório de Carvalho
2007 B conf
Constrained linear regression models for interval-valued data with dependence.
SMC
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto
2007 B conf
Inequality Constraints in Regression Models to Symbolic Interval Variables.
IJCNN
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto
2006 — conf
Linear Regression Methods to Predict Interval-Valued Data.
SBRN
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Lucas X. T. Bezerra
2005 Misc conf
Applying Constrained Linear Regression Models to Predict Interval-Valued Data.
KI
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Eduarda S. Freire
2004 Misc conf
A New Method to Fit a Linear Regression Model for Interval-Valued Data.
KI
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Camilo P. Tenorio
2004 — conf
Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features.
Australian Conference on Artificial Intelligence
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Camilo P. Tenorio