Francisco de Assis Tenorio de Carvalho

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Eufrásio de Andrade Lima NetoDepartment of Statistics, Federal University of ParaibaVerified email at de.ufpb.br
Teresa Bernarda LudermirProfessor Centro de Informática, Universidade Federal de PernambucoVerified email at cin.ufpe.br
Byron Leite Dantas BezerraUniversidade de PernambucoVerified email at ecomp.poli.br
Ivan G. CostaProfessor, Institute of Computational Genomics, RWTH AachenVerified email at rwth-aachen.de
Paula BritoFaculdade de Economia ; LIAAD-INESC TEC ; Universidade do Porto; IASC-ISIVerified email at fep.up.pt
Marie ChaventAssociate Professor of Statistics, University of BordeauxVerified email at u-bordeaux.fr
Antonio IrpinoUniversity of Campania "L. Vanvitelli"Verified email at unicampania.it
Valmir MacárioUniversidade Federal Rural de PernambucoVerified email at ufrpe.br
Marcilio C. P. de SoutoLIFO/Univ. Orleans, FranceVerified email at univ-orleans.fr
Fabrice RossiProfessor of Data Science, CEREMADE, Université Paris Dauphine PSLVerified email at dauphine.psl.eu
Ricardo Bastos C. PrudencioCentro de Informática - UFPE - BrasilVerified email at cin.ufpe.br
Sergio QueirozCentro de Informática, Universidade Federal de PernambucoVerified email at cin.ufpe.br
Gauss M. Cordeiro, Gauss Moutinho C...Professor of Statistics, Universidade Federal de PernambucoVerified email at de.ufpe.br
Júlio Tenório PimentelAluno de Doutorado da Pós Graduação em Engenharia Civil, Área de Estruturas, Universidade Federal de PernambucoVerified email at ufpe.br
Vincent CorrubleLIP6, Sorbonne Université (UPMC, Paris 6)Verified email at lip6.fr
Alejandro C. FreryVictoria University of WellingtonVerified email at vuw.ac.nz
Juliana FreireNew York UniversityVerified email at nyu.edu
Luciano BarbosaAssociate Professor - Universidade Federal de PernambucoVerified email at cin.ufpe.br
Jacques RobinUniversité Paris 1 Panthéon-SorbonneVerified email at univ-paris1.fr
Jean-Daniel ZuckerSenior Researcher, UMMISCO, IRD/Sorbonne University, FranceVerified email at ird.fr

Francisco de Assis Tenorio de Carvalho

Professor of Computer Science, Universidade Federal de Pernambuco

Verified email at cin.ufpe.br

Clustering Machine Learning Symbolic Data Analysis


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Centre and range method for fitting a linear regression model to symbolic interval data EAL Neto, FAT de Carvalho Computational Statistics & Data Analysis 52 (3), 1500-1515, 2008	245	2008
Fuzzy c-means clustering methods for symbolic interval data FAT de Carvalho Pattern Recognition Letters 28 (4), 423-437, 2007	235	2007
Clustering of interval data based on city-block distances RMCR de Souza, FAT De Carvalho Pattern Recognition Letters 25 (3), 353-365, 2004	232	2004
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data FAT De Carvalho, RMCR de Souza, M Chavent, Y Lechevallier Pattern Recognition Letters 27 (3), 167-179, 2006	209	2006
Constrained linear regression models for symbolic interval-valued variables EAL Neto, FAT de Carvalho Computational Statistics & Data Analysis 54 (2), 333-347, 2010	183	2010
Dynamic clustering for interval data based on L 2 distance FAT de Carvalho, P Brito, HH Bock Computational Statistics 21 (2), 231-250, 2006	142	2006
Forecasting models for interval-valued time series ALS Maia, FAT de Carvalho, TB Ludermir Neurocomputing 71 (16-18), 3344-3352, 2008	138	2008
New clustering methods for interval data M Chavent, FAT de Carvalho, Y Lechevallier, R Verde Computational statistics 21 (2), 211-229, 2006	108	2006
Holt’s exponential smoothing and neural network models for forecasting interval-valued time series ALS Maia, FAT de Carvalho International Journal of Forecasting 27 (3), 740-759, 2011	101	2011
Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances FAT De Carvalho, CP Tenório Fuzzy Sets and Systems 161 (23), 2978-2999, 2010	91	2010
Proximity coefficients between Boolean symbolic objects FAT de Carvalho New approaches in classification and data analysis, 387-394, 1994	85	1994
Comparative analysis of clustering methods for gene expression time course data IG Costa, FAT de Carvalho, MCP de Souto Genetics and Molecular Biology 27 (4), 623-631, 2004	79	2004
Partitioning hard clustering algorithms based on multiple dissimilarity matrices FDAT De Carvalho, Y Lechevallier, FM De Melo Pattern Recognition 45 (1), 447-464, 2012	74	2012
Partitional clustering algorithms for symbolic interval data based on single adaptive distances FAT De Carvalho, Y Lechevallier Pattern Recognition 42 (7), 1223-1236, 2009	74	2009
A symbolic approach for content-based information filtering BLD Bezerra, FAT de Carvalho Information Processing Letters 92 (1), 45-52, 2004	56	2004
Extension based proximities between constrained boolean symbolic objects FT de Carvalho Data Science, Classification, and Related Methods, 370-378, 1998	56	1998
Bivariate symbolic regression models for interval-valued variables EAL Neto, GM Cordeiro, FAT de Carvalho Journal of Statistical Computation and Simulation 81 (11), 1727-1744, 2011	53	2011
Unsupervised pattern recognition models for mixed feature-type symbolic data FAT de Carvalho, RMCR de Souza Pattern Recognition Letters 31 (5), 430-443, 2010	53	2010
Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle M Chavent, F De Carvalho, Y Lechevallier, R Verde Revue de statistique appliquée 51 (4), 5-29, 2003	52	2003
A new method to fit a linear regression model for interval-valued data FAT de Carvalho, EAL Neto, CP Tenorio Annual Conference on Artificial Intelligence, 295-306, 2004	51	2004

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