Francisco de A. T. de Carvalho

ORCID

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 34

Top Venues

Publications

Eduardo C. Simões, Francisco de A. T. de Carvalho
Gaussian kernel fuzzy c-means with width parameter computation and regularization. Pattern Recognit. 143 (2023)
Diogo P. P. Branco, Francisco de A. T. de Carvalho
Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational data. Fuzzy Sets Syst. 469 (2023)
Marcos de Souza Oliveira, Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho
Unsupervised feature selection method based on iterative similarity graph factorization and clustering by modularity. Expert Syst. Appl. 208 (2022)
Laura M. P. Mariño, Francisco de A. T. de Carvalho
Vector batch SOM algorithms for multi-view dissimilarity data. Knowl. Based Syst. 258 (2022)
Laura M. P. Mariño, Francisco de A. T. de Carvalho
Two weighted c-medoids batch SOM algorithms for dissimilarity data. Inf. Sci. 607 (2022)
Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde, Antonio Balzanella
Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components. J. Classif. 39 (2) (2022)
José Nataniel A. de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting. FUZZ-IEEE (2022)
Ricardo A. M. da Silva, Francisco de A. T. de Carvalho
Weighted Clusterwise Linear Regression based on adaptive quadratic form distance. Expert Syst. Appl. 185 (2021)
Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Kassio C. F. da Silva
A clusterwise nonlinear regression algorithm for interval-valued data. Inf. Sci. 555 (2021)
Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Ullysses da N. Rosendo
Interval joint robust regression method. Neurocomputing 465 (2021)
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
Soft subspace clustering of interval-valued data with regularizations. Knowl. Based Syst. 227 (2021)
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
Fuzzy clustering algorithms with distance metric learning and entropy regularization. Appl. Soft Comput. 113 (Part) (2021)
Francisco de A. T. de Carvalho, Antonio Balzanella, Antonio Irpino, Rosanna Verde
Co-clustering algorithms for distributional data with automated variable weighting. Inf. Sci. 549 (2021)
Laura M. P. Mariño, Francisco de A. T. de Carvalho
A new batch SOM algorithm for relational data with weighted medoids. IJCNN (2020)
Andréa B. Duque, Francisco de A. T. de Carvalho, Renato Vimieiro
A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts. BRACIS (2019)
Rene Pereira de Gusmao, Francisco de A. T. de Carvalho
Clustering of multi-view relational data based on particle swarm optimization. Expert Syst. Appl. 123 (2019)
Eduardo C. Simões, Francisco de A. T. de Carvalho
A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data. ISNN (1) (2019)
Ricardo A. M. da Silva, Francisco de A. T. de Carvalho
On Combining Fuzzy C-Regression Models and Fuzzy C-Means with Automated Weighting of the Explanatory Variables. FUZZ-IEEE (2018)
Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation. ICANN (1) (2018)
Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho
An exponential-type kernel robust regression model for interval-valued variables. Inf. Sci. (2018)
Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira
Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters. Pattern Recognit. 79 (2018)
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization. FUZZ-IEEE (2018)
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
Fuzzy clustering algorithm with automatic variable selection and entropy regularization. FUZZ-IEEE (2017)
Ricardo A. M. da Silva, Francisco de A. T. de Carvalho
On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables. ICANN (2) (2017)
Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho
Fuzzy clustering of distributional data with automatic weighting of variable components. Inf. Sci. 406 (2017)
Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira
A robust regression method based on exponential-type kernel functions. Neurocomputing 234 (2017)
Diogo P. P. Branco, Francisco de A. T. de Carvalho
Fuzzy clustering of multi-view relational data with pairwise constraints. FUZZ-IEEE (2017)
Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier
Multi-view hard c-means with automated weighting of views and variables. IJCNN (2017)
Francisco de A. T. de Carvalho, Eduardo C. Simões
Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances. Neurocomputing 266 (2017)
Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho
Nonlinear regression applied to interval-valued data. Pattern Anal. Appl. 20 (3) (2017)
Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong, Francisco de A. T. de Carvalho
Guest Editorial Special Issue on Granular/Symbolic Data Processing. IEEE Trans. Cybern. 46 (2) (2016)
Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões
A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation. ISNN (2016)
Francisco de A. T. de Carvalho, Patrice Bertrand, Eduardo C. Simões
Batch SOM algorithms for interval-valued data with automatic weighting of the variables. Neurocomputing 182 (2016)
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões
Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables. Pattern Recognit. 51 (2016)
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier
A multi-view relational fuzzy c-medoid vectors clustering algorithm. Neurocomputing 163 (2015)
Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif
Fuzzy co-clustering with automated variable weighting. FUZZ-IEEE (2015)
Francisco de A. T. de Carvalho, Eduardo C. Simões
A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices. BRACIS (2015)
Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde
Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance. FUZZ-IEEE (2015)
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
Kernel fuzzy c-means with automatic variable weighting. Fuzzy Sets Syst. 237 (2014)
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel. IJCNN (2014)
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
Kernel-based hard clustering methods in the feature space with automatic variable weighting. Pattern Recognit. 47 (9) (2014)
Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances. Expert Syst. Appl. 41 (7) (2014)
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Julio T. Pimentel
Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances. BRACIS (2013)
Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo
Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices. Fuzzy Sets Syst. 215 (2013)
Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier
Nonlinear multicriteria clustering based on multiple dissimilarity matrices. Pattern Recognit. 46 (12) (2013)
Miloud Bessafi, Francisco de A. T. de Carvalho, Philippe Charton, Mathieu Delsaut, Thierry Despeyroux, Patrick Jeanty, Jean-Daniel Lan Sun Luk, Yves Lechevallier, Henri Ralambondrainy, Lionel Trovalet
Clustering of Solar Irradiance. ECDA (2013)
Filipe M. de Melo, Francisco de A. T. de Carvalho
Semi-supervised fuzzy c-medoids clustering algorithm with multiple prototype representation. FUZZ-IEEE (2013)
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier
A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity Matrices. BRACIS (2013)
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa
Batch self-organizing maps for mixed feature-type symbolic data. IJCNN (2013)
Valmir Macário Filho, Francisco de A. T. de Carvalho
An adaptive isodata fuzzy clustering algorithm with partial supervision. SMC (2012)
C. A. G. de Araujo Junior, Francisco de A. T. de Carvalho, André Luis Santiago Maia
Exponential smoothing methods for forecasting bar diagram-valued time series. SMC (2012)
Francisco de A. T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo
Multi-view Clustering on Relational Data. EGC (best of volume) (2012)
Francisco de A. T. de Carvalho, Julio T. Pimentel
Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances. SMC (2012)
Valmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization. SBRN (2012)
Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo
Partitioning hard clustering algorithms based on multiple dissimilarity matrices. Pattern Recognit. 45 (1) (2012)
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
Clustering Dynamic Web Usage Data CoRR (2012)
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira
Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data. SBRN (2012)
Francisco de A. T. de Carvalho, Lucas F. S. Cambuim
Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data. SMC (2012)
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier, Thierry Despeyroux
Un algorithme de classification automatique pour des données relationnelles multivues. EGC (2012)
Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier
Multicriteria clustering with weighted Tchebycheff distances for relational data. IJCNN (2012)
Valmir Macário Filho, Francisco de A. T. de Carvalho
An adaptive semi-supervised fuzzy clustering algorithm based on objective function optimization. FUZZ-IEEE (2012)
Thaís Gaudencio do Rêgo, Helge G. Roider, Francisco de A. T. de Carvalho, Ivan G. Costa
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models. Bioinform. 28 (18) (2012)
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
Kernel fuzzy clustering methods based on local adaptive distances. FUZZ-IEEE (2012)
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
Partitioning hard kernel clustering methods based on local adaptive distances. SMC (2012)
Francisco de A. T. de Carvalho, Julio T. Pimentel
A fuzzy clustering algorithm based on adaptive city-block distances. FUZZ-IEEE (2012)
Luciano D. S. Pacífico, Francisco de A. T. de Carvalho
A batch self-organizing maps algorithm based on adaptive distances. IJCNN (2011)
Anderson B. dos S. Dantas, Francisco de A. T. de Carvalho
Adaptive Batch SOM for Multiple Dissimilarity Data Tables. ICTAI (2011)
Ivan G. Costa, Helge G. Roider, Thaís Gaudencio do Rêgo, Francisco de A. T. de Carvalho
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models. BMC Bioinform. 12 (S-1) (2011)
Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho
Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances CoRR (2011)
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier
A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices. ISDA (2010)
Francisco de A. T. de Carvalho, Camilo P. Tenorio
Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances. Fuzzy Sets Syst. 161 (23) (2010)
Eufrasio 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) (2010)
Francisco de A. T. de Carvalho, Renata M. C. R. de Souza
Unsupervised pattern recognition models for mixed feature-type symbolic data. Pattern Recognit. Lett. 31 (5) (2010)
Francisco de A. T. de Carvalho, Gilbert Saporta, Danilo N. Queiroz
A Clusterwise Center and Range Regression Model for Interval-Valued Data. COMPSTAT (2010)
Francisco de A. T. de Carvalho, Yves Lechevallier
Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances. IEEE Trans. Syst. Man Cybern. Part A 39 (6) (2009)
Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel
Clustering of symbolic data using the assignment-prototype algorithm. IJCNN (2009)
Francisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier
Clustering constrained symbolic data. Pattern Recognit. Lett. 30 (11) (2009)
Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. ICANN (1) (2009)
Francisco de A. T. de Carvalho, Yves Lechevallier
Partitional clustering algorithms for symbolic interval data based on single adaptive distances. Pattern Recognit. 42 (7) (2009)
Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho
Vers la simulation et la détection des changements des données évolutives d'usage du Web. EGC (2009)
Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima
Automatic Information Extraction in Semi-structured Official Journals. SBRN (2008)
André Luis Santiago Maia, Francisco de A. T. de Carvalho
Neural Networks and Exponential Smoothing Models for Symbolic Interval Time Series Processing - Applications in Stock Market. HIS (2008)
Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel
Clustering of symbolic data through a dissimilarity volume based measure. IJCNN (2008)
Francisco de A. T. de Carvalho, Luciano D. S. Pacífico
A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances. HIS (2008)
André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
Forecasting models for interval-valued time series. Neurocomputing 71 (16-18) (2008)
André Luis Santiago Maia, Francisco de A. T. de Carvalho
Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data. SBIA (2008)
Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
Evolving both size and accuracy of RBF networks using Memetic Algorithm. IJCNN (2008)
Eufrasio 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) (2008)
Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
An evolutionary approach for the clustering data problem. IJCNN (2008)
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho
A Clustering Method for Mixed Feature-Type Symbolic Data using Adaptive Squared Euclidean Distances. HIS (2007)
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
Construction et analyse de résumés de données évolutives : application aux données d'usage du Web. EGC (2007)
Camilo P. Tenorio, Francisco de A. T. de Carvalho, Julio T. Pimentel
A Partitioning Fuzzy Clustering Algorithm for Symbolic Interval Data based on Adaptive Mahalanobis Distances. HIS (2007)
Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira
Application of a Hybrid Classifier to the Recognition of Petrochemical Odors. HIS (2007)
Eufrasio 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)
Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho
Analyzing Distance Measures for Symbolic Data Based on Fuzzy Clustering. ISDA (2007)
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data. ISDA (2007)
Eufrasio 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)
Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra, Renata M. C. R. de Souza
Clustering symbolic interval data based on a single adaptive hausdorff distance. SMC (2007)
Francisco de A. T. de Carvalho
Fuzzy c-means clustering methods for symbolic interval data. Pattern Recognit. Lett. 28 (4) (2007)
Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra
Clustering of symbolic interval data based on a single adaptive L1 distance. IJCNN (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Francisco de A. T. de Carvalho