Francisco de A.T. de Carvalho

Author

Universidade Federal de Pernambuco ORCID

Also Known As

Amaury De Araujo, Carvalho, Francisco, De Carvalho, Francisco, Despeyroux, Thierry, F Carvalho, F. de A.T. de Carvalho, F. de Carvalho, F.de A.T. de Carvalho, F.de.A.T. de Carvalho, Francisco Carvalho

202

Publications

3.5K

Citations

H-Index

Concepts

All Affiliations

Universidade Federal de Pernambuco Universidade Federal da Paraíba Institut national de recherche en sciences et technologies du numérique Universidade de Pernambuco University of Campania "Luigi Vanvitelli"

About

Francisco de A.T. de Carvalho is an author at Universidade Federal de Pernambuco specializing in data science, data mining, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	36	1.7K
2	Public Health	3	3	183
3	Management	2	2	44
4	Medicine	1	1	12
5	Social Sciences	1	1	211

Francisco de A.T. de Carvalho

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Centre and Range method for fitting a linear regression model to symbolic interval data Eufrásio de Andrade Lima Neto, Francisco de A.T. de Carvalho Computational Statistics & Data Analysis Symbolic Data AnalysisInterval AnalysisSymbolic Interval DataInterval ComputationLinear Regression Model	2007	269
Constrained linear regression models for symbolic interval-valued variables Eufrásio de Andrade Lima Neto, Francisco de A.T. de Carvalho Computational Statistics & Data Analysis Interval AnalysisInterval ComputationConstrained OptimizationSymbolic Interval-valued VariablesFunctional Data Analysis	2009	219
Clustering of interval data based on city–block distances Renata M.C.R. de Souza, Francisco de A.T. de Carvalho Pattern Recognition Letters Interval DataUrban GeographyData ScienceUrban ModellingUrban Planning	2003	211
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data Francisco de A.T. de Carvalho, Renata M.C.R. de Souza, Marie Chavent, Pattern Recognition Letters EngineeringData ScienceData MiningSymbolic Data AnalysisKnowledge Discovery	2005	182
Holt’s exponential smoothing and neural network models for forecasting interval-valued time series André Luis Santiago Maia, Francisco de A.T. de Carvalho International Journal of Forecasting Exponential SmoothingForecasting MethodologyHolt ’Interval-valued Time SeriesPredictive Analytics	2010	173
Fuzzy c-means clustering methods for symbolic interval data Francisco de A.T. de Carvalho Pattern Recognition Letters Fuzzy LogicEngineeringData ScienceData MiningSymbolic Data Analysis	2006	167
Forecasting models for interval-valued time series André Luis Santiago Maia, Francisco de A.T. de Carvalho, Teresa B. Ludermir Neurocomputing Forecasting MethodologyInterval-valued Time SeriesPredictive AnalyticsInterval AnalysisInterval Computation	2008	160
Dynamic clustering for interval data based on L 2 distance Francisco de A.T. de Carvalho, Paula Brito, Hans‐Hermann Bock Computational Statistics EngineeringData ScienceData MiningSymbolic Data AnalysisInterval Analysis	2006	139
New clustering methods for interval data Marie Chavent, Francisco de A.T. de Carvalho, Yves Lechevallier, Computational Statistics Interval DataEngineeringData ScienceData MiningSymbolic Data Analysis	2006	99
Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances Francisco de A.T. de Carvalho, Camilo P. Tenório Fuzzy Sets and Systems Fuzzy LogicEngineeringFuzzy ComputingData ScienceData Mining	2010	85

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