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)

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 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)

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 Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Nicomedes L. Cavalcanti Junior (HIS, 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)

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)

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)

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)

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)

Image Retrieval Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model under Affine Transforms. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Carlos E. B. Rodrigues; Nicomedes L. Cavalcanti Junior (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)

Image retrieval using the curvature scale space (CSS) technique and the self-organizing map (SOM) model under rotation. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Carlos E. B. Rodrigues; Nicomedes L. Cavalcanti Junior (ICDIM, 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)

Bagging for a Region Oriented Symbolic Classifier. - Renata M. C. R. de Souza; André dos S. Sabóia (HIS, 2008)

Bug reports retrieval using Self-organizing Map. - Renata L. M. E. do Rego; Márcio Ribeiro 001; Emanuella Aleixo; Renata M. C. R. de Souza (ICDIM, 2008)

Two pattern classifiers for interval data based on binary regression models. - Renata M. C. R. de Souza; Francisco José de A. Cysneiros; Diego C. F. Queiroz; Roberta A. de A. Fagundes (ICDIM, 2008)

A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution. - Marco A. O. Domingues; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (ICONIP (2), 2008)

A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach. - Renata M. C. R. de Souza; Diogo R. S. Salazar (ICONIP (2), 2008)

Image retrieval using the curvature scale space (CSS) descriptor and the self-organizing map (SOM) model under scale invariance. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Nicomedes L. Cavalcanti Junior (IJCNN, 2008)

A Symbolic Pattern Classifier for Interval Data Based on Binary Probit Analysis. - Renata M. C. R. de Souza; Francisco José de A. Cysneiros; Diego C. F. Queiroz; Roberta A. de A. Fagundes (KI, 2008)

A multi-class logistic regression model for interval data. - Renata M. C. R. de Souza; Francisco José de A. Cysneiros; Diego C. F. Queiroz; Roberta A. de A. Fagundes (SMC, 2008)

Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance. - Renata M. C. R. de Souza; Telmo de Menezes e Silva Filho (ICANN (1), 2009)

A Robust Prediction Method for Interval Symbolic Data. - Roberta A. de A. Fagundes; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (ISDA, 2009)

Effort Drivers Estimation for Brazilian Geographically Distributed Software Development. - Ana Carina M. Almeida; Renata M. C. R. Souza; Gibeon Aquino; Silvio Romero de Lemos Meira (SEAFOOD, 2009)

Nearest-Neighborhood Linear Regression in an Application with Software Effort Estimation. - Renata M. C. R. Souza; Luciana Q. Leal; Roberta A. de A. Fagundes; Hermano P. Moura; Cristine Gusmão (SMC, 2009)

A Self-organizing Based Approach for Bug Reports Retrieval. - Renata L. M. E. do Rego; Márcio Ribeiro 001; Emanuella A. de Barros; Renata M. C. R. de Souza (J. Digit. Inf. Manag., 2009)

K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions. - Anderson F. B. F. da Costa; Bruno A. Pimentel; Renata M. C. R. de Souza (ICTAI (2), 2010)

A kernel k-means clustering method for symbolic interval data. - Anderson F. B. F. da Costa; Bruno A. Pimentel; Renata M. C. R. de Souza (IJCNN, 2010)

Software Defect Estimation using Support Vector Regression. - Roberta A. de A. Fagundes; Renata M. C. R. de Souza (SEKE, 2010)

Texture classification based on co-occurrence matrix and self-organizing map. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Ana Lucia B. Candeias (SMC, 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)

A robust method for linear regression of symbolic interval data. - Marco A. O. Domingues; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (Pattern Recognit. Lett., 2010)

A partitioning method for symbolic interval data based on kernelized metric. - Bruno A. Pimentel; Anderson F. B. F. da Costa; Renata M. C. R. de Souza (CIKM, 2011)

Kernel-based fuzzy clustering of interval data. - Bruno A. Pimentel; Anderson F. B. F. da Costa; Renata M. C. R. de Souza (FUZZ-IEEE, 2011)

Pattern classifiers with adaptive distances. - Telmo de Menezes e Silva Filho; Renata M. C. R. de Souza (IJCNN, 2011)

A K-medoids clustering algorithm for mixed feature-type symbolic data. - Elaine Cristina de Assis; Renata M. C. R. de Souza (SMC, 2011)

Logistic regression-based pattern classifiers for symbolic interval data. - Renata M. C. R. de Souza; Diego C. F. Queiroz; Francisco José de A. Cysneiros (Pattern Anal. Appl., 2011)

texture classification based on symbolic data analysis. - Carlos Wilson Dantas de Almeida; Renata M. C. R. Souza; Ana Lucia B. Candeias (ESANN, 2012)

A novel adaptive fuzzy c-means algorithm for interval data type. - Renata M. C. R. de Souza; Leonardo Vieira de Carvalho; Nicomedes L. Cavalcanti Junior (FUZZ-IEEE, 2012)

Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production. - Bruno Almeida Pimentel; Jarley Palmeira Nóbrega; Renata M. C. R. de Souza (ICANN (2), 2012)

A Weighted Learning Vector Quantization Approach for Interval Data. - Telmo de Menezes e Silva Filho; Renata Maria Cardoso R. de Souza (ICONIP (3), 2012)

Vehicle Image Classification Based on Edge: Features and Distances Comparison. - Fabrízia Medeiros de S. Matos; Renata Maria Cardoso R. de Souza (ICONIP (4), 2012)

Assessing Reliability of Substation Spare Current Transformer System. - Cristiano G. de Melo; Renata Maria Cardoso R. de Souza; Liliane R. B. Salgado (ICONIP (4), 2012)

Comparative Analysis of Clustering Algorithms Applied to the Classification of Bugs. - Anderson Santana; Jackson Silva; Patrícia Muniz; Fabricio Araújo; Renata Maria Cardoso R. de Souza (ICONIP (5), 2012)

IFKCN: Applying fuzzy Kohonen clustering network to interval data. - Carlos Wilson Dantas de Almeida; Renata M. C. R. Souza; Ana Lucia B. Candeias (IJCNN, 2012)

Texture retrieval using co-occurrence matrix and symbolic interval data under scale and rotation invariance. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Ana Lucia B. Candeias (SMC, 2012)

An image vehicle classification method based on edge and PCA applied to blocks. - Fabrízia Medeiros de Sousa Matos; Renata Maria Cardoso R. de Souza (SMC, 2012)

Possibilistic approach to clustering of interval data. - Bruno Almeida Pimentel; Renata M. C. R. de Souza (SMC, 2012)

Fuzzy learning vector quantization approaches for interval data. - Telmo de Menezes e Silva Filho; Renata M. C. R. Souza (FUZZ-IEEE, 2013)

Estimation Methods of Presumed Income. - Valter E. Silva Júnior; Renata M. C. R. Souza; Getúlio J. A. Amaral; Hélio G. Souza Júnior (ICONIP (2), 2013)

Hierarchical Classification of Vehicle Images Using NN with Conditional Adaptive Distance. - Fabrízia Medeiros de S. Matos; Renata Maria Cardoso R. de Souza (ICONIP (2), 2013)

A shape descriptor based on symbolic data analysis. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Ana Lucia B. Candeias (IJCNN, 2013)

An interval nonparametric regression method. - Roberta A. de A. Fagundes; Ricardo J. A. Queiroz Filho; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (IJCNN, 2013)

A multivariate fuzzy c-means method. - Bruno A. Pimentel; Renata M. C. R. de Souza (Appl. Soft Comput., 2013)

Robust regression with application to symbolic interval data. - Roberta A. de A. Fagundes; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (Eng. Appl. Artif. Intell., 2013)

Fuzzy Kohonen clustering networks for interval data. - Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza; Ana Lucia B. Candeias (Neurocomputing, 2013)

Clustering interval data through kernel-induced feature space. - Anderson F. B. F. da Costa; Bruno A. Pimentel; Renata M. C. R. de Souza (J. Intell. Inf. Syst., 2013)

Interval symbolic feature extraction for thermography breast cancer detection. - Marcus C. Araújo; Rita C. F. Lima; Renata M. C. R. de Souza (Expert Syst. Appl., 2014)

A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data. - Bruno Almeida Pimentel; Renata M. C. R. de Souza (Expert Syst. Appl., 2014)

Interval kernel regression. - Roberta A. de A. Fagundes; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (Neurocomputing, 2014)

Possibilistic Clustering Methods for Interval-Valued Data. - Bruno Almeida Pimentel; Renata M. C. R. de Souza (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Input space versus feature space in kernel-based interval fuzzy C-Means clustering. - Bruno A. Pimentel; Anderson F. B. F. da Costa; Renata M. C. R. de Souza (IJCNN, 2015)

Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. - Telmo de Menezes e Silva Filho; Bruno A. Pimentel; Renata M. C. R. Souza; Adriano L. I. Oliveira (Expert Syst. Appl., 2015)

Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics' catalogs. - Juliana de A. G. Saraiva; Micael Soares de França; Sérgio C. B. Soares; Fernando Castor Filho; Renata M. C. R. de Souza (J. Syst. Softw., 2015)

Quantile regression of interval-valued data. - Roberta A. de A. Fagundes; Renata M. C. R. de Souza; Yanne M. G. Soares (ICPR, 2016)

Zero-inflated prediction model in software-fault data. - Roberta A. de A. Fagundes; Renata M. C. R. Souza; Francisco José de A. Cysneiros (IET Softw., 2016)

Multivariate Fuzzy C-Means algorithms with weighting. - Bruno Almeida Pimentel; Renata M. C. R. de Souza (Neurocomputing, 2016)

A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. - Telmo de Menezes e Silva Filho; Renata M. C. R. Souza; Ricardo B. C. Prudêncio (Neural Networks, 2016)

Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. - Bruno A. Pimentel; Marcilio C. P. de Souto; Renata M. C. R. de Souza (IJCNN, 2017)

Predicting symbolic interval-valued data through symmetrical nonlinear regression. - Dailys Maite Aliaga Reyes; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (Int. J. Bus. Intell. Data Min., 2017)

A parametrized approach for linear regression of interval data. - Leandro Carlos de Souza; Renata M. C. R. Souza; Getúlio J. A. Amaral; Telmo de Menezes e Silva Filho (Knowl. Based Syst., 2017)

An interval prototype classifier based on a parameterized distance applied to breast thermographic images. - Marcus C. Araújo; Renata M. C. R. Souza; Rita C. F. Lima; Telmo de Menezes e Silva Filho (Medical Biol. Eng. Comput., 2017)

Multivariate fuzzy k-modes algorithm. - Diêgo B. M. Maciel; Getúlio J. A. Amaral; Renata M. C. R. de Souza; Bruno A. Pimentel (Pattern Anal. Appl., 2017)

A Generalized Multivariate Approach for Possibilistic Fuzzy C-Means Clustering. - Bruno Almeida Pimentel; Renata M. C. R. de Souza (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018)

Kernelized inner product-based discriminant analysis for interval data. - Diego C. F. Queiroz; Renata M. C. R. de Souza; Francisco José de A. Cysneiros; Marcus C. Araújo (Pattern Anal. Appl., 2018)

A Multivariate Fuzzy Kohonen Clustering Network. - Rodrigo B. de C. Cavalcanti; Bruno A. Pimentel; Carlos Wilson Dantas de Almeida; Renata M. C. R. de Souza (IJCNN, 2019)

Investigating different fitness criteria for swarm-based clustering. - Maria Priscila Da Silva Souza; Telmo de Menezes e Silva Filho; Getúlio José Amorim do Amaral; Renata Maria Cardoso Rodrigues De Souza (Int. J. Bus. Intell. Data Min., 2019)

Estimating risk in capital asset pricing for interval-valued data. - Dailys Maite Aliaga Reyes; Renata Maria Cardoso Rodrigues De Souza; Francisco José de A. Cysneiros (Int. J. Bus. Inf. Syst., 2019)

Polygonal data analysis: A new framework in symbolic data analysis. - Wagner J. F. Silva; Renata M. C. R. Souza; Francisco José de A. Cysneiros (Knowl. Based Syst., 2019)

Teamwork Quality and Team Success in Software Development: A Non-exact Replication Study. - Any Caroliny Duarte Batista de Almeida; Renata M. C. R. de Souza; Fabio Q. B. da Silva; Leandro de Almeida Melo; George Marsicano (ESEM, 2020)

Dynamic time series smoothing for symbolic interval data applied to neuroscience. - Diego C. Nascimento; Bruno A. Pimentel; Renata Souza 002; João P. Leite; Dylan J. Edwards; Taiza E. G. Santos; Francisco Louzada 001 (Inf. Sci., 2020)

Dynamic clustering of interval data based on hybrid (L_q ) distance. - Leandro Carlos de Souza; Renata Maria Cardoso Rodrigues De Souza; Getúlio José Amorim do Amaral (Knowl. Inf. Syst., 2020)

Using bagging to enhance clustering procedures for planar shapes. - Elaine Cristina de Assis; Renata Maria Cardoso Rodrigues De Souza; Getúlio José Amorim do Amaral (Int. J. Bus. Intell. Data Min., 2021)

Kohonen map-wise regression applied to interval data. - Leandro Carlos de Souza; Bruno A. Pimentel; Telmo de Menezes e Silva Filho; Renata M. C. R. de Souza (Knowl. Based Syst., 2021)

psda: A tool for extracting knowledge from symbolic data with an application in Brazilian educational data. - Wagner J. F. Silva; Renata M. C. R. Souza; Francisco José de A. Cysneiros (Soft Comput., 2021)

Explorando a especificação de cenários de teste de segurança no desenvolvimento orientado por comportamento (Behavior Driven Development). - Maria Yêda Lima; Carla Silva 001; Renata M. C. R. de Souza (WER, 2022)

Bivariate elliptical regression for modeling interval-valued data. - Wagner J. F. Silva; Renata M. C. R. Souza; Francisco José de A. Cysneiros (Comput. Stat., 2022)

Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications. - Wanessa W. L. Freitas; Renata M. C. R. de Souza; Getúlio J. A. Amaral; Fernanda De Bastiani (Expert Syst. Appl., 2022)

A three-stage approach for modeling multiple time series applied to symbolic quartile data. - Dailys Maite Aliaga Reyes; Renata M. C. R. de Souza; Adriano L. I. de Oliveira (Expert Syst. Appl., 2022)

Assessing the Credibility of Grey Literature - A Study with Brazilian Software Engineering Researchers. - Fernando Kamei; Igor Wiese; Gustavo Pinto 001; Waldemar Ferreira; Márcio Ribeiro 001; Renata Souza 002; Sérgio Soares (J. Softw. Eng. Res. Dev., 2022)

An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction. - Rodrigo Berto; Hanna Bugler; Renata M. C. R. Souza; Ashley D. Harris (MLMI@MICCAI (1), 2023)

Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario. - Rafaella L. S. do Nascimento; Roberta A. de A. Fagundes; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (Pattern Anal. Appl., 2023)

Statistical learning from Brazilian fake news. - Gabriel B. Lima; Thiago de M. Chaves; Wanessa W. L. Freitas; Renata M. C. R. de Souza (Expert Syst. J. Knowl. Eng., 2023)

Classifying breast lesions in Brazilian thermographic images using convolutional neural networks. - Flávia R. S. Brasileiro; Delmiro D. Sampaio Neto; Telmo de Menezes e Silva Filho; Renata M. C. R. de Souza; Marcus C. de Araújo (Neural Comput. Appl., 2023)

A Clustering Algorithm for Polygonal Data Applied to Scientific Journal Profiles. - Wagner J. F. Silva; Pedro J. C. Souza; Renata M. C. R. Souza; Francisco José de A. Cysneiros (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Regression applied to symbolic interval-spatial data. - Wanessa W. L. Freitas; Renata M. C. R. de Souza; Getúlio J. A. Amaral; Ronei Marcos de Moraes (Appl. Intell., 2024)

Generalized linear models for symbolic polygonal data. - Rafaella L. S. do Nascimento; Renata M. C. R. de Souza; Francisco José de A. Cysneiros (Knowl. Based Syst., 2024)

Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector. - Dailys Maite Aliaga Reyes; Leandro Carlos de Souza; Renata M. C. R. de Souza; Adriano L. I. de Oliveira (Inf. Sci., 2024)

Sighted particles: improving swarm optimization by making particles aware of their surroundings. - Wagner J. F. Silva; Telmo de Menezes e Silva Filho; Delmiro D. Sampaio Neto; Renata M. C. R. Souza; Adriano L. I. Oliveira; Francisco José de A. Cysneiros (Evol. Intell., 2024)

Recommendation systems with user and item profiles based on symbolic modal data. - Delmiro D. Sampaio Neto; Telmo de Menezes e Silva Filho; Renata M. C. R. Souza (Neural Comput. Appl., 2024)