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ORCIDEufrásio de Andrade Lima Neto
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- affiliation: Federal University of Paraíba, João Pessoa, Brazil
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2020 – today
- 2025
[j12]Manuel Ferreira Junior, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio:
CLAIRE: clustering evaluation based on item response theory and model agreement. Mach. Learn. 114(11): 256 (2025)- [j11]Eufrásio de Andrade Lima Neto, Cristine Rauber
, Hozana Francielle do Nascimento Borges, Luiz Medeiros de Araujo Lima-Filho:
Process Monitoring Using Robust Regression Control Charts. Qual. Reliab. Eng. Int. 41(4): 1403-1446 (2025) - 2024
- [j10]Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller, Georgina Cosma:
Identifying early help referrals for local authorities with machine learning and bias analysis. J. Comput. Soc. Sci. 7(1): 385-403 (2024) - 2023
- [j9]Eufrásio de Andrade Lima Neto, Paulo C. Rodrigues:
Kernel robust singular value decomposition. Expert Syst. Appl. 211: 118555 (2023) - [i2]Manuel Ferreira Junior, Jessica T. S. Reinaldo, Telmo de Menezes e Silva Filho, Eufrásio de A. Lima Neto, Ricardo B. C. Prudêncio:
β4-IRT: A New β3-IRT with Enhanced Discrimination Estimation. CoRR abs/2303.17731 (2023) - [i1]Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke, Jo Miller, Georgina Cosma:
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis. CoRR abs/2307.06871 (2023) - 2021
- [j8]Eufrásio de Andrade Lima Neto, Aluísio Pinheiro, Adenice Gomes de Oliveira Ferreira:
On wavelet to select the parametric form of a regression model. Commun. Stat. Simul. Comput. 50(9): 2619-2642 (2021) - [j7]Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Ullysses da N. Rosendo:
Interval joint robust regression method. Neurocomputing 465: 265-288 (2021) - [j6]Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Kassio C. F. da Silva:
A clusterwise nonlinear regression algorithm for interval-valued data. Inf. Sci. 555: 357-385 (2021)
2010 – 2019
- 2018
- [j5]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho:
An exponential-type kernel robust regression model for interval-valued variables. Inf. Sci. 454-455: 419-442 (2018) - 2017
- [j4]Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira:
A robust regression method based on exponential-type kernel functions. Neurocomputing 234: 58-74 (2017) - [j3]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho:
Nonlinear regression applied to interval-valued data. Pattern Anal. Appl. 20(3): 809-824 (2017) - 2012
- [c9]Alberto Pereira de Barros, Francisco de Assis Tenório de Carvalho, Eufrásio de Andrade Lima Neto:
A pattern classifier for interval-valued data based on multinomial logistic regression model. SMC 2012: 541-546 - 2010
- [j2]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho:
Constrained linear regression models for symbolic interval-valued variables. Comput. Stat. Data Anal. 54(2): 333-347 (2010)
2000 – 2009
- 2009
- [c8]Eufrásio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa:
Bivariate Generalized Linear Model for Interval-Valued Variables. IJCNN 2009: 2226-2229 - 2008
- [j1]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho:
Centre and Range method for fitting a linear regression model to symbolic interval data. Comput. Stat. Data Anal. 52(3): 1500-1515 (2008) - [c7]Eufrásio de Andrade Lima Neto, Francisco de Assis Tenório de Carvalho:
Nonlinear regression model to symbolic interval-valued variables. SMC 2008: 1247-1252 - 2007
- [c6]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto:
Inequality Constraints in Regression Models to Symbolic Interval Variables. IJCNN 2007: 801-806 - [c5]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto:
Constrained linear regression models for interval-valued data with dependence. SMC 2007: 456-461 - 2006
- [c4]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Lucas X. T. Bezerra:
Linear Regression Methods to Predict Interval-Valued Data. SBRN 2006: 125-130 - 2005
- [c3]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Eduarda S. Freire:
Applying Constrained Linear Regression Models to Predict Interval-Valued Data. KI 2005: 92-106 - 2004
- [c2]Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Camilo P. Tenorio:
Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features. Australian Conference on Artificial Intelligence 2004: 526-537 - [c1]Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Camilo P. Tenorio:
A New Method to Fit a Linear Regression Model for Interval-Valued Data. KI 2004: 295-306
Coauthor Index
aka: Francisco de Assis Tenório de Carvalho
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