Francisco de Assis Tenorio de Carvalho
Francisco de Assis Tenorio de Carvalho
Professor of Computer Science, Universidade Federal de Pernambuco
Verified email at
Cited by
Cited by
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
Fuzzy c-means clustering methods for symbolic interval data
FAT de Carvalho
Pattern Recognition Letters 28 (4), 423-437, 2007
Clustering of interval data based on city-block distances
RMCR de Souza, FAT De Carvalho
Pattern Recognition Letters 25 (3), 353-365, 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
Constrained linear regression models for symbolic interval-valued variables
EAL Neto, FAT de Carvalho
Computational Statistics & Data Analysis 54 (2), 333-347, 2010
Forecasting models for interval-valued time series
ALS Maia, FAT de Carvalho, TB Ludermir
Neurocomputing 71 (16-18), 3344-3352, 2008
Dynamic clustering for interval data based on L 2 distance
FAT de Carvalho, P Brito, HH Bock
Computational Statistics 21 (2), 231-250, 2006
New clustering methods for interval data
M Chavent, FAT de Carvalho, Y Lechevallier, R Verde
Computational statistics 21 (2), 211-229, 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
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
Proximity coefficients between Boolean symbolic objects
FAT de Carvalho
New approaches in classification and data analysis, 387-394, 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
Partitioning hard clustering algorithms based on multiple dissimilarity matrices
FDAT De Carvalho, Y Lechevallier, FM De Melo
Pattern Recognition 45 (1), 447-464, 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
Unsupervised pattern recognition models for mixed feature-type symbolic data
FAT de Carvalho, RMCR de Souza
Pattern Recognition Letters 31 (5), 430-443, 2010
A symbolic approach for content-based information filtering
BLD Bezerra, FAT de Carvalho
Information Processing Letters 92 (1), 45-52, 2004
Extension based proximities between constrained boolean symbolic objects
FT de Carvalho
Data Science, Classification, and Related Methods, 370-378, 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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20