Histograms in symbolic data analysis. - Francisco de A. T. de Carvalho (Ann. Oper. Res., 1995)

Speeding up Recommender Systems with Meta-prototypes. - Byron L. D. Bezerra; Francisco de A. T. de Carvalho; Geber L. Ramalho; Jean-Daniel Zucker (SBIA, 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 (SBIA, 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 (SBIA, 2002)

A Symbolic Approach to Gene Expression Time Series Analysis. - Ivan G. Costa; Francisco de A. T. de Carvalho; Marcílio Carlos Pereira de Souto (SBRN, 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 (WOB, 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)

A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems. - Byron L. D. Bezerra; Francisco de A. T. de Carvalho (Australian Conference on 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 (Australian Conference on 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 (IBERAMIA, 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 (IBERAMIA, 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 (IBERAMIA, 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 (IBERAMIA, 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 (ICONIP, 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 (ICONIP, 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 (KI, 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 (SBIA, 2004)

Making Collaborative Group Recommendations Based on Modal Symbolic Data. - Sérgio Ricardo de Melo Queiroz; Francisco de A. T. de Carvalho (SBIA, 2004)

A symbolic approach for content-based information filtering. - Byron L. D. Bezerra; Francisco de A. T. de Carvalho (Inf. Process. 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)

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)

An Adaptive Fuzzy c-Means Algorithm with the L2 Norm. - Nicomedes L. Cavalcanti; Francisco de A. T. de Carvalho (Australian Conference on Artificial Intelligence, 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 (KI, 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 (WIDM, 2005)

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 (EGC, 2006)

Fuzzy Clustering Algorithms for Symbolic Interval Data based on L2 Norm. - Francisco de A. T. de Carvalho; Nicomedes L. Cavalcanti (FUZZ-IEEE, 2006)

Characterizing visitor groups from web data streams. - Alzennyr Da Silva; Francisco de Assis Tenório de Carvalho; Yves Lechevallier; Brigitte Trousse (GrC, 2006)

A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance. - Francisco de A. T. de Carvalho (ICONIP (3), 2006)

A Hybrid Model for Symbolic Interval Time Series Forecasting. - André Luis Santiago Maia; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir (ICONIP (2), 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 (ICONIP (2), 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 (IJCNN, 2006)

Mining Web Usage Data for Discovering Navigation Clusters. - Alzennyr Da Silva; Yves Lechevallier; Francisco de A. T. de Carvalho; Brigitte Trousse (ISCC, 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 (KI, 2006)

Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances. - Francisco de A. T. de Carvalho (SBRN, 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 (SBRN, 2006)

Symbolic interval time series forecasting using a hybrid model. - André Luis Santiago Maia; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir (SBRN, 2006)

Linear Regression Methods to Predict Interval-Valued Data. - Eufrasio de Andrade Lima Neto; Francisco de A. T. de Carvalho; Lucas X. T. Bezerra (SBRN, 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 (Web Intelligence, 2006)

Dynamic clustering for interval data based on L 2 distance. - Francisco de A. T. de Carvalho; Paula Brito; Hans-Hermann Bock (Comput. Stat., 2006)

New clustering methods for interval data. - Marie Chavent; Francisco de A. T. de Carvalho; Yves Lechevallier; Rosanna Verde (Comput. Stat., 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)

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)

Symbolic Clustering of Large Datasets. - Yves Lechevallier; Rosanna Verde; Francisco de A. T. de Carvalho (Data Science and Classification, 2006)

Dissimilarities for Web Usage Mining. - Fabrice Rossi; Francisco de A. T. de Carvalho; Yves Lechevallier; Alzennyr Da Silva (Data Science and Classification, 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 (Data Science and Classification, 2006)

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 (EGC, 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 (HIS, 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 (HIS, 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 (HIS, 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 (IJCNN, 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 (IJCNN, 2007)

Analyzing Distance Measures for Symbolic Data Based on Fuzzy Clustering. - Alzennyr Da Silva; Yves Lechevallier; Francisco de A. T. de Carvalho (ISDA, 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 (ISDA, 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 (SMC, 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 (SMC, 2007)

Fuzzy c-means clustering methods for symbolic interval data. - Francisco de A. T. de Carvalho (Pattern Recognit. Lett., 2007)

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 (HIS, 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 (HIS, 2008)

Clustering of symbolic data through a dissimilarity volume based measure. - Kelly P. Silva; Francisco de A. T. de Carvalho; Marc Csernel (IJCNN, 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 (IJCNN, 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 (IJCNN, 2008)

Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data. - André Luis Santiago Maia; Francisco de A. T. de Carvalho (SBIA, 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 (SBRN, 2008)

Nonlinear regression model to symbolic interval-valued variables. - Eufrasio de Andrade Lima Neto; Francisco de Assis Tenório de Carvalho (SMC, 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)

Forecasting models for interval-valued time series. - André Luis Santiago Maia; Francisco de A. T. de Carvalho; Teresa Bernarda Ludermir (Neurocomputing, 2008)

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 (EGC, 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 (ICANN (1), 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 (IJCNN, 2009)

Clustering of symbolic data using the assignment-prototype algorithm. - Kelly P. Silva; Francisco de A. T. de Carvalho; Marc Csernel (IJCNN, 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 constrained symbolic data. - Francisco de A. T. de Carvalho; Marc Csernel; Yves Lechevallier (Pattern Recognit. Lett., 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)

Comparing Clustering on Symbolic Data. - Alzennyr Da Silva; Yves Lechevallier; Francisco de A. T. de Carvalho (Intelligent Text Categorization and Clustering, 2009)

Clustering Dynamic Web Usage Data. - Alzennyr Da Silva; Yves Lechevallier; Fabrice Rossi; Francisco de A. T. de Carvalho (Innovative Applications in Data Mining, 2009)

A Clusterwise Center and Range Regression Model for Interval-Valued Data. - Francisco de A. T. de Carvalho; Gilbert Saporta; Danilo N. Queiroz (COMPSTAT, 2010)

Recent advances in partitioning clustering algorithms for interval-valued data. - Francisco de Assis Tenório de Carvalho (EGC, 2010)

A new approach for semi-supervised clustering based on Fuzzy C-Means. - Valmir Macário Filho; Francisco de Assis Tenório de Carvalho (FUZZ-IEEE, 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 (ISDA, 2010)

Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data. - Clerton Ribeiro; Francisco de Assis Tenório de Carvalho; Ivan G. Costa (BSB, 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)

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)

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)

Normalizing Constrained Symbolic Data for Clustering. - Marc Csernel; Francisco de Assis Tenório de Carvalho (HDSDA, 2011)

Adaptive Batch SOM for Multiple Dissimilarity Data Tables. - Anderson B. dos S. Dantas; Francisco de A. T. de Carvalho (ICTAI, 2011)

A batch self-organizing maps algorithm based on adaptive distances. - Luciano D. S. Pacífico; Francisco de A. T. de Carvalho (IJCNN, 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)

Symbolic data analysis tools for recommendation systems. - Byron Leite Dantas Bezerra; Francisco de Assis Tenório de Carvalho (Knowl. Inf. Syst., 2011)

Multi-view Clustering on Relational Data. - Francisco de A. T. de Carvalho; Yves Lechevallier; Thierry Despeyroux; Filipe M. de Melo (EGC (best of volume), 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 (EGC, 2012)

A fuzzy clustering algorithm based on adaptive city-block distances. - Francisco de A. T. de Carvalho; Julio T. Pimentel (FUZZ-IEEE, 2012)

Kernel fuzzy clustering methods based on local adaptive distances. - Marcelo Rodrigo Portela Ferreira; Francisco de A. T. de Carvalho (FUZZ-IEEE, 2012)

An adaptive semi-supervised fuzzy clustering algorithm based on objective function optimization. - Valmir Macário Filho; Francisco de A. T. de Carvalho (FUZZ-IEEE, 2012)

Multicriteria clustering with weighted Tchebycheff distances for relational data. - Sérgio Ricardo de Melo Queiroz; Francisco de A. T. de Carvalho; Yves Lechevallier (IJCNN, 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 (SBRN, 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 (SBRN, 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 (SMC, 2012)

Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data. - Francisco de A. T. de Carvalho; Lucas F. S. Cambuim (SMC, 2012)

Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances. - Francisco de A. T. de Carvalho; Julio T. Pimentel (SMC, 2012)

Partitioning hard kernel clustering methods based on local adaptive distances. - Marcelo Rodrigo Portela Ferreira; Francisco de A. T. de Carvalho (SMC, 2012)

An adaptive isodata fuzzy clustering algorithm with partial supervision. - Valmir Macário Filho; Francisco de A. T. de Carvalho (SMC, 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 (SMC, 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)

Clustering Dynamic Web Usage Data - Alzennyr Da Silva; Yves Lechevallier; Fabrice Rossi; Francisco de A. T. de Carvalho (CoRR, 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)

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 (BRACIS, 2013)

A Fuzzy C-Medoids Clustering Algorithm Based on Multiple Dissimilarity Matrices. - Francisco de A. T. de Carvalho; Filipe M. de Melo; Yves Lechevallier (BRACIS, 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 (ECDA, 2013)

Semi-supervised fuzzy c-medoids clustering algorithm with multiple prototype representation. - Filipe M. de Melo; Francisco de A. T. de Carvalho (FUZZ-IEEE, 2013)

Batch self-organizing maps for mixed feature-type symbolic data. - Francisco de A. T. de Carvalho; Gibson B. N. Barbosa (IJCNN, 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)

Nonlinear multicriteria clustering based on multiple dissimilarity matrices. - Sérgio Ricardo de Melo Queiroz; Francisco de A. T. de Carvalho; Yves Lechevallier (Pattern Recognit., 2013)

An adjustable p-exponential clustering algorithm. - Valmir Macário Filho; Francisco de Assis Tenório de Carvalho (ESANN, 2014)

A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel. - Marcelo Rodrigo Portela Ferreira; Francisco de A. T. de Carvalho (IJCNN, 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)

Kernel fuzzy c-means with automatic variable weighting. - Marcelo Rodrigo Portela Ferreira; Francisco de A. T. de Carvalho (Fuzzy Sets Syst., 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)

A Set-Medoids Vector Batch SOM Algorithm Based on Multiple Dissimilarity Matrices. - Francisco de A. T. de Carvalho; Eduardo C. Simões (BRACIS, 2015)

Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance. - Francisco de A. T. de Carvalho; Antonio Irpino; Rosanna Verde (FUZZ-IEEE, 2015)

Fuzzy co-clustering with automated variable weighting. - Charlotte Laclau; Francisco de A. T. de Carvalho; Mohamed Nadif (FUZZ-IEEE, 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)

A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation. - Francisco de A. T. de Carvalho; Marcelo Rodrigo Portela Ferreira; Eduardo C. Simões (ISNN, 2016)

Particle Swarm Optimization applied to relational data clustering. - Renê Pereira de Gusmão; Francisco de Assis Tenório de Carvalho (SMC, 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)

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)

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)

Fuzzy clustering of multi-view relational data with pairwise constraints. - Diogo P. P. Branco; Francisco de A. T. de Carvalho (FUZZ-IEEE, 2017)

Fuzzy clustering algorithm with automatic variable selection and entropy regularization. - Sara Inés Rizo Rodríguez; Francisco de A. T. de Carvalho (FUZZ-IEEE, 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 (ICANN (2), 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 (IJCNN, 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)

Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances. - Francisco de A. T. de Carvalho; Eduardo C. Simões (Neurocomputing, 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)

Nonlinear regression applied to interval-valued data. - Eufrasio de Andrade Lima Neto; Francisco de A. T. de Carvalho (Pattern Anal. Appl., 2017)

Fuzzy clustering Algorithm based on Adaptive City-block distance and Entropy Regularization. - Sara Inés Rizo Rodríguez; Francisco de A. T. de Carvalho (FUZZ-IEEE, 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 (FUZZ-IEEE, 2018)

Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation. - Francisco de A. T. de Carvalho; Lucas V. C. Santana; Marcelo Rodrigo Portela Ferreira (ICANN (1), 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 (ICANN (1), 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)

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)

A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts. - Andréa B. Duque; Francisco de A. T. de Carvalho; Renato Vimieiro (BRACIS, 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 (FUZZ-IEEE, 2019)

Adaptive- L_2 L 2 Batch Neural Gas. - Nicomedes L. Cavalcanti; Marcelo Rodrigo Portela Ferreira; Francisco de Assis Tenório de Carvalho (ICANN (2), 2019)

Clustering interval-valued data with automatic variables weighting. - Sara Inés Rizo Rodríguez; Francisco de Assis Tenório de Carvalho (IJCNN, 2019)

A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data. - Eduardo C. Simões; Francisco de A. T. de Carvalho (ISNN (1), 2019)

Clustering of multi-view relational data based on particle swarm optimization. - Renê Pereira de Gusmão; Francisco de A. T. de Carvalho (Expert Syst. Appl., 2019)

A new batch SOM algorithm for relational data with weighted medoids. - Laura M. P. Mariño; Francisco de A. T. de Carvalho (IJCNN, 2020)

PSO for Fuzzy Clustering of Multi-view Relational Data. - Renê Pereira de Gusmão; Francisco de Assis Tenório de Carvalho (Int. J. Pattern Recognit. Artif. Intell., 2020)

Fuzzy clustering algorithms with distance metric learning and entropy regularization. - Sara Inés Rizo Rodríguez; Francisco de A. T. de Carvalho (Appl. Soft Comput., 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)

Interval joint robust regression method. - Francisco de A. T. de Carvalho; Eufrasio de Andrade Lima Neto; Ullysses da N. Rosendo (Neurocomputing, 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)

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)

Soft subspace clustering of interval-valued data with regularizations. - Sara Inés Rizo Rodríguez; Francisco de A. T. de Carvalho (Knowl. Based Syst., 2021)

Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting. - José Nataniel Andrade de Sá; Marcelo Rodrigo Portela Ferreira; Francisco de A. T. de Carvalho (FUZZ-IEEE, 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)

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)

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)

Two weighted c-medoids batch SOM algorithms for dissimilarity data. - Laura M. P. Mariño; Francisco de A. T. de Carvalho (Inf. Sci., 2022)

Vector batch SOM algorithms for multi-view dissimilarity data. - Laura M. P. Mariño; Francisco de A. T. de Carvalho (Knowl. Based Syst., 2022)

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)

Gaussian kernel fuzzy c-means with width parameter computation and regularization. - Eduardo C. Simões; Francisco de A. T. de Carvalho (Pattern Recognit., 2023)

Novel L1-Based Neural Gas Clustering Algorithms. - Nicomedes L. Cavalcanti; Francisco de A. T. de Carvalho (ICMLA, 2024)

Self-organizing maps with adaptive distances for multiple dissimilarity matrices. - Laura Maria Palomino Mariño; Francisco de Assis Tenório de Carvalho (Mach. Learn., 2024)

Deep contrastive variational subspace clustering. - Marcos de Souza Oliveira; Sérgio Ricardo de Melo Queiroz; Cleber Zanchettin; Francisco de Assis Tenório de Carvalho (Neurocomputing, 2025)

Kernel clustering with automatic variable weighting for interval data. - José Nataniel Andrade de Sá; Marcelo Rodrigo Portela Ferreira; Francisco de Assis Tenório de Carvalho (Neurocomputing, 2025)

A cluster-wise regression method for distribution-valued data. - Antonio Balzanella; Rosanna Verde; Francisco de Assis Tenório de Carvalho (Knowl. Based Syst., 2025)

Fuzzy and Crisp Gaussian Kernel-Based Co-Clustering With Automatic Width Computation. - José Nataniel Andrade de Sá; Marcelo Rodrigo Portela Ferreira; Francisco de A. T. de Carvalho (IEEE Trans. Fuzzy Syst., 2025)