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Francisco de Assis Tenorio de Carvalho
Francisco de Assis Tenorio de Carvalho
Professor of Computer Science, Universidade Federal de Pernambuco
Verified email at cin.ufpe.br
Title
Cited by
Cited by
Year
Centre and range method for fitting a linear regression model to symbolic interval data
EAL Neto, FDAT De Carvalho
Computational Statistics & Data Analysis 52 (3), 1500-1515, 2008
2972008
Clustering of interval data based on city-block distances
RMCR de Souza, FAT De Carvalho
Pattern Recognition Letters 25 (3), 353-365, 2004
2612004
Fuzzy c-means clustering methods for symbolic interval data
FAT de Carvalho
Pattern Recognition Letters 28 (4), 423-437, 2007
2542007
Constrained linear regression models for symbolic interval-valued variables
EAL Neto, FDAT De Carvalho
Computational Statistics & Data Analysis 54 (2), 333-347, 2010
2432010
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
2302006
Forecasting models for interval-valued time series
ALS Maia, FAT de Carvalho, TB Ludermir
Neurocomputing 71 (16-18), 3344-3352, 2008
1892008
Dynamic clustering for interval data based on L 2 distance
FAT De Carvalho, P Brito, HH Bock
Computational Statistics 21, 231-250, 2006
1582006
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
1562011
New clustering methods for interval data
M Chavent, FAT de Carvalho, Y Lechevallier, R Verde
Computational statistics 21, 211-229, 2006
1172006
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
1102010
Partitioning hard clustering algorithms based on multiple dissimilarity matrices
FDAT De Carvalho, Y Lechevallier, FM De Melo
Pattern Recognition 45 (1), 447-464, 2012
932012
Partitional clustering algorithms for symbolic interval data based on single adaptive distances
FAT De Carvalho, Y Lechevallier
Pattern Recognition 42 (7), 1223-1236, 2009
902009
Proximity coefficients between Boolean symbolic objects
F de AT de Carvalho
New approaches in classification and data analysis, 387-394, 1994
871994
Comparative analysis of clustering methods for gene expression time course data
IG Costa, FAT de Carvalho, MCP de Souto
Genetics and Molecular Biology 27, 623-631, 2004
842004
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances
A Irpino, R Verde, FAT De Carvalho
Expert Systems with Applications 41 (7), 3351-3366, 2014
672014
Bivariate symbolic regression models for interval-valued variables
EAL Neto, GM Cordeiro, FDAT De Carvalho
Journal of Statistical Computation and Simulation 81 (11), 1727-1744, 2011
652011
A new method to fit a linear regression model for interval-valued data
FAT de Carvalho, EA Lima Neto, CP Tenorio
KI 2004: Advances in Artificial Intelligence: 27th Annual German Conference …, 2004
622004
Unsupervised pattern recognition models for mixed feature-type symbolic data
FAT de Carvalho, RMCR de Souza
Pattern Recognition Letters 31 (5), 430-443, 2010
612010
Extension based proximities between constrained boolean symbolic objects
FT de Carvalho
Data Science, Classification, and Related Methods: Proceedings of the Fifth …, 1998
581998
Partitional fuzzy clustering methods based on adaptive quadratic distances
FAT de Carvalho, CP Tenório, NLC Junior
Fuzzy Sets and Systems 157 (21), 2833-2857, 2006
552006
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