Francisco de A. T. de Carvalho

According to our database, Francisco de A. T. de Carvalho authored at least 163 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Self-organizing maps with adaptive distances for multiple dissimilarity matrices.

Laura Maria Palomino Mariño, Francisco de Assis Tenório de Carvalho

Mach. Learn., October, 2024

2023

Gaussian kernel fuzzy c-means with width parameter computation and regularization.

Eduardo C. Simões, Francisco de A. T. de Carvalho

Pattern Recognit., November, 2023

Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational data.

Diogo P. P. Branco, Francisco de A. T. de Carvalho

Fuzzy Sets Syst., 2023

2022

Vector batch SOM algorithms for multi-view dissimilarity data.

Laura M. P. Mariño, Francisco de A. T. de Carvalho

Knowl. Based Syst., 2022

Two weighted c-medoids batch SOM algorithms for dissimilarity data.

Laura M. P. Mariño, Francisco de A. T. de Carvalho

Inf. Sci., 2022

Clustering interval-valued data with adaptive Euclidean and City-Block distances.

Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho

Expert Syst. Appl., 2022

Unsupervised feature selection method based on iterative similarity graph factorization and clustering by modularity.

Marcos de Souza Oliveira, Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho

Expert Syst. Appl., 2022

Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components.

Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde, Antonio Balzanella

J. Classif., 2022

Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting.

José Nataniel A. de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Soft subspace clustering of interval-valued data with regularizations.

Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho

Knowl. Based Syst., 2021

A clusterwise nonlinear regression algorithm for interval-valued data.

Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Kassio C. F. da Silva

Inf. Sci., 2021

Co-clustering algorithms for distributional data with automated variable weighting.

Francisco de A. T. de Carvalho, Antonio Balzanella, Antonio Irpino, Rosanna Verde

Inf. Sci., 2021

Interval joint robust regression method.

Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Ullysses da N. Rosendo

Neurocomputing, 2021

Weighted Clusterwise Linear Regression based on adaptive quadratic form distance.

Ricardo A. M. da Silva, Francisco de A. T. de Carvalho

Expert Syst. Appl., 2021

Fuzzy clustering algorithms with distance metric learning and entropy regularization.

Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho

Appl. Soft Comput., 2021

2020

PSO for Fuzzy Clustering of Multi-view Relational Data.

Rene Pereira de Gusmao, Francisco de Assis Tenório de Carvalho

Int. J. Pattern Recognit. Artif. Intell., 2020

A new batch SOM algorithm for relational data with weighted medoids.

Laura M. P. Mariño, Francisco de A. T. de Carvalho

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Clustering of multi-view relational data based on particle swarm optimization.

Rene Pereira de Gusmao, Francisco de A. T. de Carvalho

Expert Syst. Appl., 2019

A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data.

Eduardo C. Simões, Francisco de A. T. de Carvalho

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Clustering interval-valued data with automatic variables weighting.

Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive- L_2 L 2 Batch Neural Gas.

Nicomedes L. Cavalcanti, Marcelo Rodrigo Portela Ferreira, Francisco de Assis Tenório de Carvalho

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

A new fuzzy clustering algorithm for interval-valued data based on City-Block distance.

Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts.

Andréa B. Duque, Francisco de A. T. de Carvalho, Renato Vimieiro

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters.

Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira

Pattern Recognit., 2018

An exponential-type kernel robust regression model for interval-valued variables.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho

Inf. Sci., 2018

Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data.

Sara Inés Rizo Rodríguez, Francisco de Assis Tenório de Carvalho

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation.

Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

On Combining Fuzzy C-Regression Models and Fuzzy C-Means with Automated Weighting of the Explanatory Variables.

Ricardo A. M. da Silva, Francisco de A. T. de Carvalho

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization.

Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Nonlinear regression applied to interval-valued data.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho

Pattern Anal. Appl., 2017

Fuzzy clustering of distributional data with automatic weighting of variable components.

Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho

Inf. Sci., 2017

Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances.

Francisco de A. T. de Carvalho, Eduardo C. Simões

Neurocomputing, 2017

A robust regression method based on exponential-type kernel functions.

Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira

Neurocomputing, 2017

Multi-view hard c-means with automated weighting of views and variables.

Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables.

Ricardo A. M. da Silva, Francisco de A. T. de Carvalho

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Fuzzy clustering algorithm with automatic variable selection and entropy regularization.

Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Fuzzy clustering of multi-view relational data with pairwise constraints.

Diogo P. P. Branco, Francisco de A. T. de Carvalho

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Guest Editorial Special Issue on Granular/Symbolic Data Processing.

Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong, Francisco de A. T. de Carvalho

IEEE Trans. Cybern., 2016

Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões

Pattern Recognit., 2016

Batch SOM algorithms for interval-valued data with automatic weighting of the variables.

Francisco de A. T. de Carvalho, Patrice Bertrand, Eduardo C. Simões

Neurocomputing, 2016

Particle Swarm Optimization applied to relational data clustering.

Rene Pereira de Gusmao, Francisco de Assis Tenório de Carvalho

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.

Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

2015

A multi-view relational fuzzy c-medoid vectors clustering algorithm.

Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier

Neurocomputing, 2015

Fuzzy co-clustering with automated variable weighting.

Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance.

Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices.

Francisco de A. T. de Carvalho, Eduardo C. Simões

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

Kernel-based hard clustering methods in the feature space with automatic variable weighting.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Pattern Recognit., 2014

Kernel fuzzy c-means with automatic variable weighting.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Fuzzy Sets Syst., 2014

Dynamic clustering of histogram data based on adaptive squared Wasserstein distances.

Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho

Expert Syst. Appl., 2014

A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An adjustable p-exponential clustering algorithm.

Valmir Macário Filho, Francisco de Assis Tenório de Carvalho

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Nonlinear multicriteria clustering based on multiple dissimilarity matrices.

Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier

Pattern Recognit., 2013

Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices.

Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo

Fuzzy Sets Syst., 2013

Batch self-organizing maps for mixed feature-type symbolic data.

Francisco de A. T. de Carvalho, Gibson B. N. Barbosa

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Semi-supervised fuzzy c-medoids clustering algorithm with multiple prototype representation.

Filipe M. de Melo, Francisco de A. T. de Carvalho

Proceedings of the FUZZ-IEEE 2013, 2013

Clustering of Solar Irradiance.

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

Proceedings of the Data Science, 2013

A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity Matrices.

Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances.

Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Julio T. Pimentel

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

Partitioning hard clustering algorithms based on multiple dissimilarity matrices.

Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo

Pattern Recognit., 2012

Clustering Dynamic Web Usage Data

Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho

CoRR, 2012

Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models.

Thaís Gaudencio do Rêgo, Helge G. Roider, Francisco de A. T. de Carvalho, Ivan G. Costa

Bioinform., 2012

Exponential smoothing methods for forecasting bar diagram-valued time series.

C. A. G. de Araujo Junior, Francisco de A. T. de Carvalho, André Luis Santiago Maia

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

An adaptive isodata fuzzy clustering algorithm with partial supervision.

Valmir Macário Filho, Francisco de A. T. de Carvalho

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Partitioning hard kernel clustering methods based on local adaptive distances.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances.

Francisco de A. T. de Carvalho, Julio T. Pimentel

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data.

Francisco de A. T. de Carvalho, Lucas F. S. Cambuim

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A pattern classifier for interval-valued data based on multinomial logistic regression model.

Alberto Pereira de Barros, Francisco de Assis Tenório de Carvalho, Eufrasio de Andrade Lima Neto

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.

Valmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data.

Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Multicriteria clustering with weighted Tchebycheff distances for relational data.

Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

An adaptive semi-supervised fuzzy clustering algorithm based on objective function optimization.

Valmir Macário Filho, Francisco de A. T. de Carvalho

Proceedings of the FUZZ-IEEE 2012, 2012

Kernel fuzzy clustering methods based on local adaptive distances.

Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho

Proceedings of the FUZZ-IEEE 2012, 2012

A fuzzy clustering algorithm based on adaptive city-block distances.

Francisco de A. T. de Carvalho, Julio T. Pimentel

Proceedings of the FUZZ-IEEE 2012, 2012

Un algorithme de classification automatique pour des données relationnelles multivues.

Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier, Thierry Despeyroux

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Multi-view Clustering on Relational Data.

Francisco de A. T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo

Proceedings of the Advances in Knowledge Discovery and Management, 2012

2011

Symbolic data analysis tools for recommendation systems.

Byron Leite Dantas Bezerra, Francisco de Assis Tenório de Carvalho

Knowl. Inf. Syst., 2011

Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models.

Ivan G. Costa, Helge G. Roider, Thaís Gaudencio do Rêgo, Francisco de A. T. de Carvalho

BMC Bioinform., 2011

A batch self-organizing maps algorithm based on adaptive distances.

Luciano D. S. Pacífico, Francisco de A. T. de Carvalho

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Adaptive Batch SOM for Multiple Dissimilarity Data Tables.

Anderson B. dos S. Dantas, Francisco de A. T. de Carvalho

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Normalizing Constrained Symbolic Data for Clustering.

Marc Csernel, Francisco de Assis Tenório de Carvalho

Proceedings of the Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, 2011

2010

Unsupervised pattern recognition models for mixed feature-type symbolic data.

Francisco de A. T. de Carvalho, Renata M. C. R. de Souza

Pattern Recognit. Lett., 2010

Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances.

Francisco de A. T. de Carvalho, Camilo P. Tenorio

Fuzzy Sets Syst., 2010

Constrained linear regression models for symbolic interval-valued variables.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho

Comput. Stat. Data Anal., 2010

Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data.

Clerton Ribeiro, Francisco de Assis Tenório de Carvalho, Ivan G. Costa

Proceedings of the Advances in Bioinformatics and Computational Biology, 2010

A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices.

Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A new approach for semi-supervised clustering based on Fuzzy C-Means.

Valmir Macário Filho, Francisco de Assis Tenório de Carvalho

Proceedings of the FUZZ-IEEE 2010, 2010

Recent advances in partitioning clustering algorithms for interval-valued data.

Francisco de Assis Tenório de Carvalho

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

A Clusterwise Center and Range Regression Model for Interval-Valued Data.

Francisco de A. T. de Carvalho, Gilbert Saporta, Danilo N. Queiroz

Proceedings of the 19th International Conference on Computational Statistics, 2010

2009

Clustering Dynamic Web Usage Data.

Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho

Proceedings of the Innovative Applications in Data Mining, 2009

Comparing Clustering on Symbolic Data.

Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho

Proceedings of the Intelligent Text Categorization and Clustering, 2009

Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances.

Francisco de A. T. de Carvalho, Yves Lechevallier

IEEE Trans. Syst. Man Cybern. Part A, 2009

Clustering constrained symbolic data.

Francisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier

Pattern Recognit. Lett., 2009

Partitional clustering algorithms for symbolic interval data based on single adaptive distances.

Francisco de A. T. de Carvalho, Yves Lechevallier

Pattern Recognit., 2009

Clustering of symbolic data using the assignment-prototype algorithm.

Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel

Proceedings of the International Joint Conference on Neural Networks, 2009

Bivariate Generalized Linear Model for Interval-Valued Variables.

Eufrasio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa

Proceedings of the International Joint Conference on Neural Networks, 2009

An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.

Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho

Proceedings of the Artificial Neural Networks, 2009

Vers la simulation et la détection des changements des données évolutives d'usage du Web.

Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008

Forecasting models for interval-valued time series.

André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir

Neurocomputing, 2008

Centre and Range method for fitting a linear regression model to symbolic interval data.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho

Comput. Stat. Data Anal., 2008

Nonlinear regression model to symbolic interval-valued variables.

Eufrasio de Andrade Lima Neto, Francisco de Assis Tenório de Carvalho

Proceedings of the IEEE International Conference on Systems, 2008

Automatic Information Extraction in Semi-structured Official Journals.

Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data.

André Luis Santiago Maia, Francisco de A. T. de Carvalho

Proceedings of the Advances in Artificial Intelligence, 2008

An evolutionary approach for the clustering data problem.

Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2008

Evolving both size and accuracy of RBF networks using Memetic Algorithm.

Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir

Proceedings of the International Joint Conference on Neural Networks, 2008

Clustering of symbolic data through a dissimilarity volume based measure.

Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel

Proceedings of the International Joint Conference on Neural Networks, 2008

Neural Networks and Exponential Smoothing Models for Symbolic Interval Time Series Processing - Applications in Stock Market.

André Luis Santiago Maia, Francisco de A. T. de Carvalho

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances.

Francisco de A. T. de Carvalho, Luciano D. S. Pacífico

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Fuzzy c-means clustering methods for symbolic interval data.

Francisco de A. T. de Carvalho

Pattern Recognit. Lett., 2007

Constrained linear regression models for interval-valued data with dependence.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto

Proceedings of the IEEE International Conference on Systems, 2007

Clustering symbolic interval data based on a single adaptive hausdorff distance.

Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra, Renata M. C. R. de Souza

Proceedings of the IEEE International Conference on Systems, 2007

Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data.

Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Analyzing Distance Measures for Symbolic Data Based on Fuzzy Clustering.

Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Inequality Constraints in Regression Models to Symbolic Interval Variables.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto

Proceedings of the International Joint Conference on Neural Networks, 2007

Clustering of symbolic interval data based on a single adaptive L1 distance.

Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra

Proceedings of the International Joint Conference on Neural Networks, 2007

A Partitioning Fuzzy Clustering Algorithm for Symbolic Interval Data based on Adaptive Mahalanobis Distances.

Camilo P. Tenorio, Francisco de A. T. de Carvalho, Julio T. Pimentel

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

A Clustering Method for Mixed Feature-Type Symbolic Data using Adaptive Squared Euclidean Distances.

Renata M. C. R. de Souza, Francisco de A. T. de Carvalho

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Application of a Hybrid Classifier to the Recognition of Petrochemical Odors.

Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Construction et analyse de résumés de données évolutives : application aux données d'usage du Web.

Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006

A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data.

Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato

Proceedings of the Data Science and Classification, 2006

Dissimilarities for Web Usage Mining.

Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva

Proceedings of the Data Science and Classification, 2006

Symbolic Clustering of Large Datasets.

Yves Lechevallier, Rosanna Verde, Francisco de A. T. de Carvalho

Proceedings of the Data Science and Classification, 2006

Adaptive Hausdorff distances and dynamic clustering of symbolic interval data.

Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Marie Chavent, Yves Lechevallier

Pattern Recognit. Lett., 2006

Partitional fuzzy clustering methods based on adaptive quadratic distances.

Francisco de A. T. de Carvalho, Camilo P. Tenorio, Nicomedes L. Cavalcanti Junior

Fuzzy Sets Syst., 2006

New clustering methods for interval data.

Marie Chavent, Francisco de A. T. de Carvalho, Yves Lechevallier, Rosanna Verde

Comput. Stat., 2006

Dynamic clustering for interval data based on <i>L</i> ₂ distance.

Francisco de A. T. de Carvalho, Paula Brito, Hans-Hermann Bock

Comput. Stat., 2006

C^2: : A Collaborative Recommendation System Based on Modal Symbolic User Profile.

Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Valmir Macário Filho

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Linear Regression Methods to Predict Interval-Valued Data.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Lucas X. T. Bezerra

Proceedings of the SBRN 2006, 2006

Symbolic interval time series forecasting using a hybrid model.

André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir

Proceedings of the SBRN 2006, 2006

A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance.

Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Lucas X. T. Bezerra

Proceedings of the SBRN 2006, 2006

Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances.

Francisco de A. T. de Carvalho

Proceedings of the SBRN 2006, 2006

A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance.

Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato

Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

Mining Web Usage Data for Discovering Navigation Clusters.

Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho, Brigitte Trousse

Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC 2006), 2006

Hybrid model with dynamic architecture for forecasting time series.

Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo

Proceedings of the International Joint Conference on Neural Networks, 2006

A Modal Symbolic Classifier for Interval Data.

Fabio C. D. Silva, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Joyce Q. Silva

Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Hybrid Model for Symbolic Interval Time Series Forecasting.

André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir

Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance.

Francisco de A. T. de Carvalho

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Characterizing visitor groups from web data streams.

Alzennyr Da Silva, Francisco de Assis Tenório de Carvalho, Yves Lechevallier, Brigitte Trousse

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Fuzzy Clustering Algorithms for Symbolic Interval Data based on L₂ Norm.

Francisco de A. T. de Carvalho, Nicomedes L. Cavalcanti

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Comparaison de dissimilarité pour l'analyse de l'usage d'un site web.

Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

2005

Looking at both the present and the past to efficiently update replicas of web content.

Luciano Barbosa, Ana Carolina Salgado, Francisco de A. T. de Carvalho, Jacques Robin, Juliana Freire

Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

Applying Constrained Linear Regression Models to Predict Interval-Valued Data.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Eduarda S. Freire

Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005

An Adaptive Fuzzy <i>c</i>-Means Algorithm with the <i>L</i>₂ Norm.

Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Clustering of interval data based on city-block distances.

Renata M. C. R. de Souza, Francisco de A. T. de Carvalho

Pattern Recognit. Lett., 2004

A Modal Symbolic Classifier for selecting time series models.

Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho

Pattern Recognit. Lett., 2004

A symbolic approach for content-based information filtering.

Byron L. D. Bezerra, Francisco de A. T. de Carvalho

Inf. Process. Lett., 2004

Making Collaborative Group Recommendations Based on Modal Symbolic Data.

Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho

Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

A Clustering Method for Symbolic Interval-Type Data Using Adaptive Chebyshev Distances.

Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Fabio C. D. Silva

Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

A New Method to Fit a Linear Regression Model for Interval-Valued Data.

Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Camilo P. Tenorio

Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances.

Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Fabio C. D. Silva

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Classification of SAR Images Through a Convex Hull Region Oriented Approach.

Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza

Proceedings of the Neural Information Processing, 11th International Conference, 2004

Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances.

Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Camilo P. Tenorio

Proceedings of the Advances in Artificial Intelligence, 2004

Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format.

Alzennyr Da Silva, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir, Nicomedes L. Cavalcanti

Proceedings of the Advances in Artificial Intelligence, 2004

A Classifier for Quantitative Feature Values Based on a Region Oriented Symbolic Approach.

Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza

Proceedings of the Advances in Artificial Intelligence, 2004

Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting.

Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Gustavo Alves

Proceedings of the Advances in Artificial Intelligence, 2004

Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features.

Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Camilo P. Tenorio

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems.

Byron L. D. Bezerra, Francisco de A. T. de Carvalho

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2002

Comparative study on proximity indices for cluster analysis of gene expression time series.

Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto

J. Intell. Fuzzy Syst., 2002

Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data.

Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto

Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

A Symbolic Approach to Gene Expression Time Series Analysis.

Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

ActiveCP: A Method for Speeding up User Preferences Acquisition in Collaborative Filtering Systems.

Ivan R. Teixeira, Francisco de A. T. de Carvalho, Geber L. Ramalho, Vincent Corruble

Proceedings of the Advances in Artificial Intelligence, 2002

Making Recommendations for Groups Using Collaborative Filtering and Fuzzy Majority.

Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Geber L. Ramalho, Vincent Corruble

Proceedings of the Advances in Artificial Intelligence, 2002

Speeding up Recommender Systems with Meta-prototypes.

Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Geber L. Ramalho, Jean-Daniel Zucker

Proceedings of the Advances in Artificial Intelligence, 2002

1995

Histograms in symbolic data analysis.

Francisco de A. T. de Carvalho

Ann. Oper. Res., 1995