Francisco de A. T. de Carvalho

Orcid: 0000-0003-1128-745X

According to our database1, Francisco de A. T. de Carvalho authored at least 162 papers between 1995 and 2023.

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Bibliography

2023
Gaussian kernel fuzzy c-means with width parameter computation and regularization.
Pattern Recognit., November, 2023

Medoid based semi-supervised fuzzy clustering algorithms for multi-view relational data.
Fuzzy Sets Syst., 2023

2022
Vector batch SOM algorithms for multi-view dissimilarity data.
Knowl. Based Syst., 2022

Two weighted c-medoids batch SOM algorithms for dissimilarity data.
Inf. Sci., 2022

Clustering interval-valued data with adaptive Euclidean and City-Block distances.
Expert Syst. Appl., 2022

Unsupervised feature selection method based on iterative similarity graph factorization and clustering by modularity.
Expert Syst. Appl., 2022

Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components.
J. Classif., 2022

Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021
Soft subspace clustering of interval-valued data with regularizations.
Knowl. Based Syst., 2021

A clusterwise nonlinear regression algorithm for interval-valued data.
Inf. Sci., 2021

Co-clustering algorithms for distributional data with automated variable weighting.
Inf. Sci., 2021

Interval joint robust regression method.
Neurocomputing, 2021

Weighted Clusterwise Linear Regression based on adaptive quadratic form distance.
Expert Syst. Appl., 2021

Fuzzy clustering algorithms with distance metric learning and entropy regularization.
Appl. Soft Comput., 2021

2020
PSO for Fuzzy Clustering of Multi-view Relational Data.
Int. J. Pattern Recognit. Artif. Intell., 2020

A new batch SOM algorithm for relational data with weighted medoids.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Clustering of multi-view relational data based on particle swarm optimization.
Expert Syst. Appl., 2019

A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Clustering interval-valued data with automatic variables weighting.
Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive- L_2 L 2 Batch Neural Gas.
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.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts.
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.
Pattern Recognit., 2018

An exponential-type kernel robust regression model for interval-valued variables.
Inf. Sci., 2018

Fuzzy Clustering Algorithm Based on Adaptive Euclidean Distance and Entropy Regularization for Interval-Valued Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation.
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.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Nonlinear regression applied to interval-valued data.
Pattern Anal. Appl., 2017

Fuzzy clustering of distributional data with automatic weighting of variable components.
Inf. Sci., 2017

Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances.
Neurocomputing, 2017

A robust regression method based on exponential-type kernel functions.
Neurocomputing, 2017

Multi-view hard c-means with automated weighting of views and variables.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Fuzzy clustering algorithm with automatic variable selection and entropy regularization.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Fuzzy clustering of multi-view relational data with pairwise constraints.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Guest Editorial Special Issue on Granular/Symbolic Data Processing.
IEEE Trans. Cybern., 2016

Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables.
Pattern Recognit., 2016

Batch SOM algorithms for interval-valued data with automatic weighting of the variables.
Neurocomputing, 2016

Particle Swarm Optimization applied to relational data clustering.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

2015
A multi-view relational fuzzy c-medoid vectors clustering algorithm.
Neurocomputing, 2015

Fuzzy co-clustering with automated variable weighting.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Kernel-based hard clustering methods in the feature space with automatic variable weighting.
Pattern Recognit., 2014

Kernel fuzzy c-means with automatic variable weighting.
Fuzzy Sets Syst., 2014

Dynamic clustering of histogram data based on adaptive squared Wasserstein distances.
Expert Syst. Appl., 2014

A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An adjustable p-exponential clustering algorithm.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Nonlinear multicriteria clustering based on multiple dissimilarity matrices.
Pattern Recognit., 2013

Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices.
Fuzzy Sets Syst., 2013

Batch self-organizing maps for mixed feature-type symbolic data.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Semi-supervised fuzzy c-medoids clustering algorithm with multiple prototype representation.
Proceedings of the FUZZ-IEEE 2013, 2013


A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity Matrices.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Partitioning hard clustering algorithms based on multiple dissimilarity matrices.
Pattern Recognit., 2012

Clustering Dynamic Web Usage Data
CoRR, 2012

Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models.
Bioinform., 2012

Exponential smoothing methods for forecasting bar diagram-valued time series.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

An adaptive isodata fuzzy clustering algorithm with partial supervision.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Partitioning hard kernel clustering methods based on local adaptive distances.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data.
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.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Multicriteria clustering with weighted Tchebycheff distances for relational data.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

An adaptive semi-supervised fuzzy clustering algorithm based on objective function optimization.
Proceedings of the FUZZ-IEEE 2012, 2012

Kernel fuzzy clustering methods based on local adaptive distances.
Proceedings of the FUZZ-IEEE 2012, 2012

A fuzzy clustering algorithm based on adaptive city-block distances.
Proceedings of the FUZZ-IEEE 2012, 2012

Un algorithme de classification automatique pour des données relationnelles multivues.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

Multi-view Clustering on Relational Data.
Proceedings of the Advances in Knowledge Discovery and Management, 2012

2011
Symbolic data analysis tools for recommendation systems.
Knowl. Inf. Syst., 2011

Predicting gene expression in T cell differentiation from histone modifications and transcription factor binding affinities by linear mixture models.
BMC Bioinform., 2011

A batch self-organizing maps algorithm based on adaptive distances.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Adaptive Batch SOM for Multiple Dissimilarity Data Tables.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Normalizing Constrained Symbolic Data for Clustering.
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.
Pattern Recognit. Lett., 2010

Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances.
Fuzzy Sets Syst., 2010

Constrained linear regression models for symbolic interval-valued variables.
Comput. Stat. Data Anal., 2010

Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2010

A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices.
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.
Proceedings of the FUZZ-IEEE 2010, 2010

Recent advances in partitioning clustering algorithms for interval-valued data.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

A Clusterwise Center and Range Regression Model for Interval-Valued Data.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2009
Clustering Dynamic Web Usage Data.
Proceedings of the Innovative Applications in Data Mining, 2009

Comparing Clustering on Symbolic Data.
Proceedings of the Intelligent Text Categorization and Clustering, 2009

Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Clustering constrained symbolic data.
Pattern Recognit. Lett., 2009

Partitional clustering algorithms for symbolic interval data based on single adaptive distances.
Pattern Recognit., 2009

Clustering of symbolic data using the assignment-prototype algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2009

Bivariate Generalized Linear Model for Interval-Valued Variables.
Proceedings of the International Joint Conference on Neural Networks, 2009

An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.
Proceedings of the Artificial Neural Networks, 2009

Vers la simulation et la détection des changements des données évolutives d'usage du Web.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008
Forecasting models for interval-valued time series.
Neurocomputing, 2008

Centre and Range method for fitting a linear regression model to symbolic interval data.
Comput. Stat. Data Anal., 2008

Nonlinear regression model to symbolic interval-valued variables.
Proceedings of the IEEE International Conference on Systems, 2008

Automatic Information Extraction in Semi-structured Official Journals.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data.
Proceedings of the Advances in Artificial Intelligence, 2008

An evolutionary approach for the clustering data problem.
Proceedings of the International Joint Conference on Neural Networks, 2008

Evolving both size and accuracy of RBF networks using Memetic Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2008

Clustering of symbolic data through a dissimilarity volume based measure.
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.
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.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Fuzzy c-means clustering methods for symbolic interval data.
Pattern Recognit. Lett., 2007

Constrained linear regression models for interval-valued data with dependence.
Proceedings of the IEEE International Conference on Systems, 2007

Clustering symbolic interval data based on a single adaptive hausdorff distance.
Proceedings of the IEEE International Conference on Systems, 2007

Construction and Analysis of Evolving Data Summaries: An Application on Web Usage Data.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Analyzing Distance Measures for Symbolic Data Based on Fuzzy Clustering.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Inequality Constraints in Regression Models to Symbolic Interval Variables.
Proceedings of the International Joint Conference on Neural Networks, 2007

Clustering of symbolic interval data based on a single adaptive L1 distance.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Partitioning Fuzzy Clustering Algorithm for Symbolic Interval Data based on Adaptive Mahalanobis Distances.
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.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Application of a Hybrid Classifier to the Recognition of Petrochemical Odors.
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.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006
A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data.
Proceedings of the Data Science and Classification, 2006

Dissimilarities for Web Usage Mining.
Proceedings of the Data Science and Classification, 2006

Symbolic Clustering of Large Datasets.
Proceedings of the Data Science and Classification, 2006

Adaptive Hausdorff distances and dynamic clustering of symbolic interval data.
Pattern Recognit. Lett., 2006

Partitional fuzzy clustering methods based on adaptive quadratic distances.
Fuzzy Sets Syst., 2006

New clustering methods for interval data.
Comput. Stat., 2006

Dynamic clustering for interval data based on <i>L</i> <sub>2</sub> distance.
Comput. Stat., 2006

C^2: : A Collaborative Recommendation System Based on Modal Symbolic User Profile.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Linear Regression Methods to Predict Interval-Valued Data.
Proceedings of the SBRN 2006, 2006

Symbolic interval time series forecasting using a hybrid model.
Proceedings of the SBRN 2006, 2006

A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance.
Proceedings of the SBRN 2006, 2006

Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances.
Proceedings of the SBRN 2006, 2006

A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

Mining Web Usage Data for Discovering Navigation Clusters.
Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC 2006), 2006

Hybrid model with dynamic architecture for forecasting time series.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Modal Symbolic Classifier for Interval Data.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Hybrid Model for Symbolic Interval Time Series Forecasting.
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.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Characterizing visitor groups from web data streams.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Fuzzy Clustering Algorithms for Symbolic Interval Data based on L<sub>2</sub> Norm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Comparaison de dissimilarité pour l'analyse de l'usage d'un site web.
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.
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.
Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005

An Adaptive Fuzzy <i>c</i>-Means Algorithm with the <i>L</i><sub>2</sub> Norm.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Clustering of interval data based on city-block distances.
Pattern Recognit. Lett., 2004

A Modal Symbolic Classifier for selecting time series models.
Pattern Recognit. Lett., 2004

A symbolic approach for content-based information filtering.
Inf. Process. Lett., 2004

Making Collaborative Group Recommendations Based on Modal Symbolic Data.
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.
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.
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Classification of SAR Images Through a Convex Hull Region Oriented Approach.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances.
Proceedings of the Advances in Artificial Intelligence, 2004

Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format.
Proceedings of the Advances in Artificial Intelligence, 2004

A Classifier for Quantitative Feature Values Based on a Region Oriented Symbolic Approach.
Proceedings of the Advances in Artificial Intelligence, 2004

Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting.
Proceedings of the Advances in Artificial Intelligence, 2004

Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2002
Comparative study on proximity indices for cluster analysis of gene expression time series.
J. Intell. Fuzzy Syst., 2002

Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

A Symbolic Approach to Gene Expression Time Series Analysis.
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.
Proceedings of the Advances in Artificial Intelligence, 2002

Making Recommendations for Groups Using Collaborative Filtering and Fuzzy Majority.
Proceedings of the Advances in Artificial Intelligence, 2002

Speeding up Recommender Systems with Meta-prototypes.
Proceedings of the Advances in Artificial Intelligence, 2002

1995
Histograms in symbolic data analysis.
Ann. Oper. Res., 1995


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