Francisco de A. T. de Carvalho

149 papers B 35C 11Misc 3Journal 52Unranked 43
YearRankTypeTitle / Venue / Authors
2025 — conf
A Dual-Weighted Gaussian Kernel-Based Method for Fuzzy Co-Clustering.
FUZZ
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2025 J jnl
Fuzzy and Crisp Gaussian Kernel-Based Co-Clustering With Automatic Width Computation.
IEEE Trans. Fuzzy Syst.
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2024 C conf
Novel L1-Based Neural Gas Clustering Algorithms.
ICMLA
Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho
2023 J jnl
Gaussian kernel fuzzy c-means with width parameter computation and regularization.
Pattern Recognit.
Eduardo C. Simões, Francisco de A. T. de Carvalho
2023 J jnl
Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational data.
Fuzzy Sets Syst.
Diogo P. P. Branco, Francisco de A. T. de Carvalho
2022 J jnl
Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components.
J. Classif.
Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde, Antonio Balzanella
2022 B conf
Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting.
FUZZ-IEEE
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2022 J jnl
Two weighted c-medoids batch SOM algorithms for dissimilarity data.
Inf. Sci.
Laura M. P. Mariño, Francisco de A. T. de Carvalho
2022 J jnl
Unsupervised feature selection method based on iterative similarity graph factorization and clustering by modularity.
Expert Syst. Appl.
Marcos de Souza Oliveira, Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho
2022 J jnl
Vector batch SOM algorithms for multi-view dissimilarity data.
Knowl. Based Syst.
Laura M. P. Mariño, Francisco de A. T. de Carvalho
2021 J jnl
A clusterwise nonlinear regression algorithm for interval-valued data.
Inf. Sci.
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Kassio C. F. da Silva
2021 J jnl
Co-clustering algorithms for distributional data with automated variable weighting.
Inf. Sci.
Francisco de A. T. de Carvalho, Antonio Balzanella, Antonio Irpino, Rosanna Verde
2021 J jnl
Fuzzy clustering algorithms with distance metric learning and entropy regularization.
Appl. Soft Comput.
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
2021 J jnl
Interval joint robust regression method.
Neurocomputing
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Ullysses da N. Rosendo
2021 J jnl
Soft subspace clustering of interval-valued data with regularizations.
Knowl. Based Syst.
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
2021 J jnl
Weighted Clusterwise Linear Regression based on adaptive quadratic form distance.
Expert Syst. Appl.
Ricardo A. M. da Silva, Francisco de A. T. de Carvalho
2020 B conf
A new batch SOM algorithm for relational data with weighted medoids.
IJCNN
Laura M. P. Mariño, Francisco de A. T. de Carvalho
2019 — conf
A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data.
ISNN (1)
Eduardo C. Simões, Francisco de A. T. de Carvalho
2019 — conf
A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts.
BRACIS
Andréa B. Duque, Francisco de A. T. de Carvalho, Renato Vimieiro
2019 J jnl
Clustering of multi-view relational data based on particle swarm optimization.
Expert Syst. Appl.
Renê Pereira de Gusmão, Francisco de A. T. de Carvalho
2018 J jnl
An exponential-type kernel robust regression model for interval-valued variables.
Inf. Sci.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2018 B conf
Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization.
FUZZ-IEEE
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
2018 — conf
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation.
ICANN (1)
Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira
2018 J jnl
Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters.
Pattern Recognit.
Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira
2018 B conf
On Combining Fuzzy C-Regression Models and Fuzzy C-Means with Automated Weighting of the Explanatory Variables.
FUZZ-IEEE
Ricardo A. M. da Silva, Francisco de A. T. de Carvalho
2017 J jnl
A robust regression method based on exponential-type kernel functions.
Neurocomputing
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira
2017 B conf
Fuzzy clustering algorithm with automatic variable selection and entropy regularization.
FUZZ-IEEE
Sara Inés Rizo Rodríguez, Francisco de A. T. de Carvalho
2017 J jnl
Fuzzy clustering of distributional data with automatic weighting of variable components.
Inf. Sci.
Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho
2017 J jnl
Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances.
Neurocomputing
Francisco de A. T. de Carvalho, Eduardo C. Simões
2017 B conf
Fuzzy clustering of multi-view relational data with pairwise constraints.
FUZZ-IEEE
Diogo P. P. Branco, Francisco de A. T. de Carvalho
2017 B conf
Multi-view hard c-means with automated weighting of views and variables.
IJCNN
Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier
2017 J jnl
Nonlinear regression applied to interval-valued data.
Pattern Anal. Appl.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2017 — conf
On Combining Clusterwise Linear Regression and K-Means with Automatic Weighting of the Explanatory Variables.
ICANN (2)
Ricardo A. M. da Silva, Francisco de A. T. de Carvalho
2016 C conf
A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.
ISNN
Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões
2016 J jnl
Batch SOM algorithms for interval-valued data with automatic weighting of the variables.
Neurocomputing
Francisco de A. T. de Carvalho, Patrice Bertrand, Eduardo C. Simões
2016 J jnl
Guest Editorial Special Issue on Granular/Symbolic Data Processing.
IEEE Trans. Cybern.
Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong, Francisco de A. T. de Carvalho
2016 J jnl
Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables.
Pattern Recognit.
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões
2015 — conf
A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices.
BRACIS
Francisco de A. T. de Carvalho, Eduardo C. Simões
2015 J jnl
A multi-view relational fuzzy c-medoid vectors clustering algorithm.
Neurocomputing
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier
2015 B conf
Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance.
FUZZ-IEEE
Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde
2015 B conf
Fuzzy co-clustering with automated variable weighting.
FUZZ-IEEE
Charlotte Laclau, Francisco de A. T. de Carvalho, Mohamed Nadif
2014 B conf
A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel.
IJCNN
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2014 J jnl
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances.
Expert Syst. Appl.
Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho
2014 J jnl
Kernel fuzzy c-means with automatic variable weighting.
Fuzzy Sets Syst.
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2014 J jnl
Kernel-based hard clustering methods in the feature space with automatic variable weighting.
Pattern Recognit.
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2013 — conf
A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity Matrices.
BRACIS
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier
2013 B conf
Batch self-organizing maps for mixed feature-type symbolic data.
IJCNN
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa
2013 — conf
Clustering of Solar Irradiance.
ECDA
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
2013 J jnl
Nonlinear multicriteria clustering based on multiple dissimilarity matrices.
Pattern Recognit.
Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier
2013 — conf
Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances.
BRACIS
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Julio T. Pimentel
2013 J jnl
Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices.
Fuzzy Sets Syst.
Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo
2013 B conf
Semi-supervised fuzzy c-medoids clustering algorithm with multiple prototype representation.
FUZZ-IEEE
Filipe M. de Melo, Francisco de A. T. de Carvalho
2012 B conf
A fuzzy clustering algorithm based on adaptive city-block distances.
FUZZ-IEEE
Francisco de A. T. de Carvalho, Julio T. Pimentel
2012 B conf
An adaptive isodata fuzzy clustering algorithm with partial supervision.
SMC
Valmir Macário Filho, Francisco de A. T. de Carvalho
2012 B conf
An adaptive semi-supervised fuzzy clustering algorithm based on objective function optimization.
FUZZ-IEEE
Valmir Macário Filho, Francisco de A. T. de Carvalho
2012 J jnl
Clustering Dynamic Web Usage Data
CoRR
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
2012 B conf
Exponential smoothing methods for forecasting bar diagram-valued time series.
SMC
C. A. G. de Araujo Junior, Francisco de A. T. de Carvalho, André Luis Santiago Maia
2012 J jnl
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models.
Bioinform.
Thaís Gaudencio do Rêgo, Helge G. Roider, Francisco de A. T. de Carvalho, Ivan G. Costa
2012 B conf
Kernel fuzzy clustering methods based on local adaptive distances.
FUZZ-IEEE
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2012 — conf
Multi-view Clustering on Relational Data.
EGC (best of volume)
Francisco de A. T. de Carvalho, Yves Lechevallier, Thierry Despeyroux, Filipe M. de Melo
2012 B conf
Multicriteria clustering with weighted Tchebycheff distances for relational data.
IJCNN
Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier
2012 B conf
Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances.
SMC
Francisco de A. T. de Carvalho, Julio T. Pimentel
2012 B conf
Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data.
SMC
Francisco de A. T. de Carvalho, Lucas F. S. Cambuim
2012 J jnl
Partitioning hard clustering algorithms based on multiple dissimilarity matrices.
Pattern Recognit.
Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo
2012 B conf
Partitioning hard kernel clustering methods based on local adaptive distances.
SMC
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2012 — conf
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.
SBRN
Valmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho
2012 — conf
Un algorithme de classification automatique pour des données relationnelles multivues.
EGC
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier, Thierry Despeyroux
2012 — conf
Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data.
SBRN
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira
2011 B conf
A batch self-organizing maps algorithm based on adaptive distances.
IJCNN
Luciano D. S. Pacífico, Francisco de A. T. de Carvalho
2011 B conf
Adaptive Batch SOM for Multiple Dissimilarity Data Tables.
ICTAI
Anderson B. dos S. Dantas, Francisco de A. T. de Carvalho
2011 J jnl
Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances
CoRR
Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho
2011 J jnl
Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models.
BMC Bioinform.
Ivan G. Costa, Helge G. Roider, Thaís Gaudencio do Rêgo, Francisco de A. T. de Carvalho
2010 — conf
A Clusterwise Center and Range Regression Model for Interval-Valued Data.
COMPSTAT
Francisco de A. T. de Carvalho, Gilbert Saporta, Danilo N. Queiroz
2010 C conf
A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices.
ISDA
Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier
2010 J jnl
Constrained linear regression models for symbolic interval-valued variables.
Comput. Stat. Data Anal.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2010 J jnl
Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances.
Fuzzy Sets Syst.
Francisco de A. T. de Carvalho, Camilo P. Tenorio
2010 J jnl
Unsupervised pattern recognition models for mixed feature-type symbolic data.
Pattern Recognit. Lett.
Francisco de A. T. de Carvalho, Renata M. C. R. de Souza
2009 — conf
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.
ICANN (1)
Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2009 — ch.
Clustering Dynamic Web Usage Data.
Innovative Applications in Data Mining
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
2009 J jnl
Clustering constrained symbolic data.
Pattern Recognit. Lett.
Francisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier
2009 B conf
Clustering of symbolic data using the assignment-prototype algorithm.
IJCNN
Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel
2009 — ch.
Comparing Clustering on Symbolic Data.
Intelligent Text Categorization and Clustering
Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho
2009 J jnl
Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances.
IEEE Trans. Syst. Man Cybern. Part A
Francisco de A. T. de Carvalho, Yves Lechevallier
2009 J jnl
Partitional clustering algorithms for symbolic interval data based on single adaptive distances.
Pattern Recognit.
Francisco de A. T. de Carvalho, Yves Lechevallier
2009 — conf
Vers la simulation et la détection des changements des données évolutives d'usage du Web.
EGC
Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho
2008 C conf
A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances.
HIS
Francisco de A. T. de Carvalho, Luciano D. S. Pacífico
2008 B conf
An evolutionary approach for the clustering data problem.
IJCNN
Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2008 — conf
Automatic Information Extraction in Semi-structured Official Journals.
SBRN
Valmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima
2008 J jnl
Centre and Range method for fitting a linear regression model to symbolic interval data.
Comput. Stat. Data Anal.
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho
2008 B conf
Clustering of symbolic data through a dissimilarity volume based measure.
IJCNN
Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel
2008 B conf
Evolving both size and accuracy of RBF networks using Memetic Algorithm.
IJCNN
Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2008 — conf
Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data.
SBIA
André Luis Santiago Maia, Francisco de A. T. de Carvalho
2008 J jnl
Forecasting models for interval-valued time series.
Neurocomputing
André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2008 C conf
Neural Networks and Exponential Smoothing Models for Symbolic Interval Time Series Processing - Applications in Stock Market.
HIS
André Luis Santiago Maia, Francisco de A. T. de Carvalho
2007 C conf
A Clustering Method for Mixed Feature-Type Symbolic Data using Adaptive Squared Euclidean Distances.
HIS
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho
2007 C conf
A Partitioning Fuzzy Clustering Algorithm for Symbolic Interval Data based on Adaptive Mahalanobis Distances.
HIS
Camilo P. Tenorio, Francisco de A. T. de Carvalho, Julio T. Pimentel
2007 C conf
Analyzing Distance Measures for Symbolic Data Based on Fuzzy Clustering.
ISDA
Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho
2007 C conf
Application of a Hybrid Classifier to the Recognition of Petrochemical Odors.
HIS
Eleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira
2007 B conf
Clustering of symbolic interval data based on a single adaptive L1 distance.
IJCNN
Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra
2007 B conf
Clustering symbolic interval data based on a single adaptive hausdorff distance.
SMC
Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra, Renata M. C. R. de Souza
2007 B conf
Constrained linear regression models for interval-valued data with dependence.
SMC
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto
2007 C conf
Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data.
ISDA
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
2007 — conf
Construction et analyse de résumés de données évolutives : application aux données d'usage du Web.
EGC
Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho
2007 J jnl
Fuzzy c-means clustering methods for symbolic interval data.
Pattern Recognit. Lett.
Francisco de A. T. de Carvalho
2007 B conf
Inequality Constraints in Regression Models to Symbolic Interval Variables.
IJCNN
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto
2006 — ch.
A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data.
Data Science and Classification
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato
2006 — conf
A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance.
ICONIP (3)
Francisco de A. T. de Carvalho
2006 — conf
A Hybrid Model for Symbolic Interval Time Series Forecasting.
ICONIP (2)
André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2006 — conf
A Modal Symbolic Classifier for Interval Data.
ICONIP (2)
Fabio C. D. Silva, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Joyce Q. Silva
2006 Misc conf
A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance.
KI
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato
2006 — conf
A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance.
SBRN
Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Lucas X. T. Bezerra
2006 J jnl
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data.
Pattern Recognit. Lett.
Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Marie Chavent, Yves Lechevallier
2006 — conf
C^2: : A Collaborative Recommendation System Based on Modal Symbolic User Profile.
Web Intelligence
Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Valmir Macário Filho
2006 — conf
Comparaison de dissimilarité pour l'analyse de l'usage d'un site web.
EGC
Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva
2006 — ch.
Dissimilarities for Web Usage Mining.
Data Science and Classification
Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva
2006 J jnl
Dynamic clustering for interval data based on
Comput. Stat.
Francisco de A. T. de Carvalho, Paula Brito, Hans-Hermann Bock
2006 B conf
Fuzzy Clustering Algorithms for Symbolic Interval Data based on L
FUZZ-IEEE
Francisco de A. T. de Carvalho, Nicomedes L. Cavalcanti
2006 — conf
Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances.
SBRN
Francisco de A. T. de Carvalho
2006 B conf
Hybrid model with dynamic architecture for forecasting time series.
IJCNN
Gecynalda Soares da Silva Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluízio F. R. Araújo
2006 — conf
Linear Regression Methods to Predict Interval-Valued Data.
SBRN
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Lucas X. T. Bezerra
2006 C conf
Mining Web Usage Data for Discovering Navigation Clusters.
ISCC
Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho, Brigitte Trousse
2006 J jnl
New clustering methods for interval data.
Comput. Stat.
Marie Chavent, Francisco de A. T. de Carvalho, Yves Lechevallier, Rosanna Verde
2006 J jnl
Partitional fuzzy clustering methods based on adaptive quadratic distances.
Fuzzy Sets Syst.
Francisco de A. T. de Carvalho, Camilo P. Tenorio, Nicomedes L. Cavalcanti Junior
2006 — ch.
Symbolic Clustering of Large Datasets.
Data Science and Classification
Yves Lechevallier, Rosanna Verde, Francisco de A. T. de Carvalho
2006 — conf
Symbolic interval time series forecasting using a hybrid model.
SBRN
André Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir
2005 — conf
An Adaptive Fuzzy
Australian Conference on Artificial Intelligence
Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho
2005 Misc conf
Applying Constrained Linear Regression Models to Predict Interval-Valued Data.
KI
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Eduarda S. Freire
2005 — conf
Looking at both the present and the past to efficiently update replicas of web content.
WIDM
Luciano Barbosa, Ana Carolina Salgado, Francisco de A. T. de Carvalho, Jacques Robin, Juliana Freire
2004 — conf
A Classifier for Quantitative Feature Values Based on a Region Oriented Symbolic Approach.
IBERAMIA
Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza
2004 — conf
A Clustering Method for Symbolic Interval-Type Data Using Adaptive Chebyshev Distances.
SBIA
Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Fabio C. D. Silva
2004 J jnl
A Modal Symbolic Classifier for selecting time series models.
Pattern Recognit. Lett.
Ricardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho
2004 Misc conf
A New Method to Fit a Linear Regression Model for Interval-Valued Data.
KI
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Camilo P. Tenorio
2004 — conf
A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems.
Australian Conference on Artificial Intelligence
Byron L. D. Bezerra, Francisco de A. T. de Carvalho
2004 J jnl
A symbolic approach for content-based information filtering.
Inf. Process. Lett.
Byron L. D. Bezerra, Francisco de A. T. de Carvalho
2004 B conf
Classification of SAR Images Through a Convex Hull Region Oriented Approach.
ICONIP
Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza
2004 B conf
Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances.
ICONIP
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Fabio C. D. Silva
2004 J jnl
Clustering of interval data based on city-block distances.
Pattern Recognit. Lett.
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho
2004 — conf
Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting.
IBERAMIA
Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Gustavo Alves
2004 — conf
Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format.
IBERAMIA
Alzennyr Da Silva, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir, Nicomedes L. Cavalcanti
2004 — conf
Making Collaborative Group Recommendations Based on Modal Symbolic Data.
SBIA
Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho
2004 — conf
Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances.
IBERAMIA
Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Camilo P. Tenorio
2004 — conf
Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features.
Australian Conference on Artificial Intelligence
Eufrásio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Camilo P. Tenorio
2002 — conf
A Symbolic Approach to Gene Expression Time Series Analysis.
SBRN
Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
2002 — conf
ActiveCP: A Method for Speeding up User Preferences Acquisition in Collaborative Filtering Systems.
SBIA
Ivan R. Teixeira, Francisco de A. T. de Carvalho, Geber L. Ramalho, Vincent Corruble
2002 J jnl
Comparative study on proximity indices for cluster analysis of gene expression time series.
J. Intell. Fuzzy Syst.
Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
2002 — conf
Making Recommendations for Groups Using Collaborative Filtering and Fuzzy Majority.
SBIA
Sérgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Geber L. Ramalho, Vincent Corruble
2002 — conf
Speeding up Recommender Systems with Meta-prototypes.
SBIA
Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Geber L. Ramalho, Jean-Daniel Zucker
2002 — conf
Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data.
WOB
Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto
1995 J jnl
Histograms in symbolic data analysis.
Ann. Oper. Res.
Francisco de A. T. de Carvalho