| 2024 | ICMLA | Novel L1-Based Neural Gas Clustering Algorithms. | Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho |
| 2020 | IJCNN | A new batch SOM algorithm for relational data with weighted medoids. | Laura M. P. Mario, Francisco de A. T. de Carvalho |
| 2019 | ISNN | A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data. | Eduardo C. Simes, Francisco de A. T. de Carvalho |
| 2018 | ICANN | Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation. | Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira |
| 2017 | ICANN | 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 |
| 2017 | IJCNN | Multi-view hard c-means with automated weighting of views and variables. | Rodrigo C. de Araujo, Francisco de A. T. de Carvalho, Yves Lechevallier |
| 2016 | ISNN | A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation. | Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simes |
| 2014 | IJCNN | A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel. | Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho |
| 2013 | IJCNN | Batch self-organizing maps for mixed feature-type symbolic data. | Francisco de A. T. de Carvalho, Gibson B. N. Barbosa |
| 2012 | IJCNN | Multicriteria clustering with weighted Tchebycheff distances for relational data. | Srgio Ricardo de Melo Queiroz, Francisco de A. T. de Carvalho, Yves Lechevallier |
| 2012 | SMC | Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data. | Francisco de A. T. de Carvalho, Lucas F. S. Cambuim |
| 2012 | SMC | Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances. | Francisco de A. T. de Carvalho, Julio T. Pimentel |
| 2012 | SMC | Partitioning hard kernel clustering methods based on local adaptive distances. | Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho |
| 2012 | SMC | An adaptive isodata fuzzy clustering algorithm with partial supervision. | Valmir Macrio Filho, Francisco de A. T. de Carvalho |
| 2012 | SMC | Exponential smoothing methods for forecasting bar diagram-valued time series. | C. A. G. de Araujo Junior, Francisco de A. T. de Carvalho, Andr Luis Santiago Maia |
| 2011 | IJCNN | A batch self-organizing maps algorithm based on adaptive distances. | Luciano D. S. Pacfico, Francisco de A. T. de Carvalho |
| 2011 | ICTAI | Adaptive Batch SOM for Multiple Dissimilarity Data Tables. | Anderson B. dos S. Dantas, Francisco de A. T. de Carvalho |
| 2010 | ISDA | A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices. | Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier |
| 2009 | ICANN | 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 |
| 2009 | IJCNN | Clustering of symbolic data using the assignment-prototype algorithm. | Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel |
| 2008 | HIS | A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances. | Francisco de A. T. de Carvalho, Luciano D. S. Pacfico |
| 2008 | HIS | Neural Networks and Exponential Smoothing Models for Symbolic Interval Time Series Processing - Applications in Stock Market. | Andr Luis Santiago Maia, Francisco de A. T. de Carvalho |
| 2008 | IJCNN | Clustering of symbolic data through a dissimilarity volume based measure. | Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel |
| 2008 | IJCNN | 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 |
| 2008 | IJCNN | An evolutionary approach for the clustering data problem. | Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho |
| 2007 | HIS | 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 |
| 2007 | HIS | 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 |
| 2007 | HIS | 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 |
| 2007 | IJCNN | 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 |
| 2007 | IJCNN | Inequality Constraints in Regression Models to Symbolic Interval Variables. | Eufrsio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto |
| 2007 | ISDA | Analyzing Distance Measures for Symbolic Data Based on Fuzzy Clustering. | Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho |
| 2007 | ISDA | 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 |
| 2007 | SMC | 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 |
| 2007 | SMC | Constrained linear regression models for interval-valued data with dependence. | Eufrsio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto |
| 2006 | ICONIP | A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance. | Francisco de A. T. de Carvalho |
| 2006 | ICONIP | A Hybrid Model for Symbolic Interval Time Series Forecasting. | Andr Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir |
| 2006 | ICONIP | 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 |
| 2006 | IJCNN | Hybrid model with dynamic architecture for forecasting time series. | Gecynalda Soares da Silva Gomes, Andr Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluzio F. R. Arajo |
| 2006 | ISCC | Mining Web Usage Data for Discovering Navigation Clusters. | Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho, Brigitte Trousse |
| 2006 | KI | 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 |
| 2005 | KI | Applying Constrained Linear Regression Models to Predict Interval-Valued Data. | Eufrsio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Eduarda S. Freire |
| 2004 | ICONIP | 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 |
| 2004 | ICONIP | 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 |
| 2004 | KI | A New Method to Fit a Linear Regression Model for Interval-Valued Data. | Francisco de A. T. de Carvalho, Eufrsio de Andrade Lima Neto, Camilo P. Tenorio |