Renata M. C. R. de Souza

Orcid: 0000-0002-2849-1273

Affiliations:
  • Universidade Federal de Pernambuco, Recife, Brazil


According to our database1, Renata M. C. R. de Souza authored at least 102 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sighted particles: improving swarm optimization by making particles aware of their surroundings.
Evol. Intell., April, 2024

Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector.
Inf. Sci., January, 2024

Generalized linear models for symbolic polygonal data.
Knowl. Based Syst., 2024

Regression applied to symbolic interval-spatial data.
Appl. Intell., 2024

2023
A Clustering Algorithm for Polygonal Data Applied to Scientific Journal Profiles.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Classifying breast lesions in Brazilian thermographic images using convolutional neural networks.
Neural Comput. Appl., September, 2023

Statistical learning from Brazilian fake news.
Expert Syst. J. Knowl. Eng., March, 2023

Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario.
Pattern Anal. Appl., February, 2023

An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022
Assessing the Credibility of Grey Literature - A Study with Brazilian Software Engineering Researchers.
J. Softw. Eng. Res. Dev., 2022

A three-stage approach for modeling multiple time series applied to symbolic quartile data.
Expert Syst. Appl., 2022

Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications.
Expert Syst. Appl., 2022

Bivariate elliptical regression for modeling interval-valued data.
Comput. Stat., 2022

Explorando a especificação de cenários de teste de segurança no desenvolvimento orientado por comportamento (Behavior Driven Development).
Proceedings of the Anais do WER22, 2022

2021
psda: A tool for extracting knowledge from symbolic data with an application in Brazilian educational data.
Soft Comput., 2021

Kohonen map-wise regression applied to interval data.
Knowl. Based Syst., 2021

Using bagging to enhance clustering procedures for planar shapes.
Int. J. Bus. Intell. Data Min., 2021

2020
Dynamic clustering of interval data based on hybrid \(L_q\) distance.
Knowl. Inf. Syst., 2020

Dynamic time series smoothing for symbolic interval data applied to neuroscience.
Inf. Sci., 2020

Teamwork Quality and Team Success in Software Development: A Non-exact Replication Study.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019
Polygonal data analysis: A new framework in symbolic data analysis.
Knowl. Based Syst., 2019

Estimating risk in capital asset pricing for interval-valued data.
Int. J. Bus. Inf. Syst., 2019

Investigating different fitness criteria for swarm-based clustering.
Int. J. Bus. Intell. Data Min., 2019

A Multivariate Fuzzy Kohonen Clustering Network.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Kernelized inner product-based discriminant analysis for interval data.
Pattern Anal. Appl., 2018

A Generalized Multivariate Approach for Possibilistic Fuzzy C-Means Clustering.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

2017
Multivariate fuzzy k-modes algorithm.
Pattern Anal. Appl., 2017

An interval prototype classifier based on a parameterized distance applied to breast thermographic images.
Medical Biol. Eng. Comput., 2017

A parametrized approach for linear regression of interval data.
Knowl. Based Syst., 2017

Predicting symbolic interval-valued data through symmetrical nonlinear regression.
Int. J. Bus. Intell. Data Min., 2017

Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data.
Neural Networks, 2016

Multivariate Fuzzy C-Means algorithms with weighting.
Neurocomputing, 2016

Zero-inflated prediction model in software-fault data.
IET Softw., 2016

Quantile regression of interval-valued data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics' catalogs.
J. Syst. Softw., 2015

Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization.
Expert Syst. Appl., 2015

Input space versus feature space in kernel-based interval fuzzy C-Means clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Possibilistic Clustering Methods for Interval-Valued Data.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

Interval kernel regression.
Neurocomputing, 2014

A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data.
Expert Syst. Appl., 2014

Interval symbolic feature extraction for thermography breast cancer detection.
Expert Syst. Appl., 2014

2013
Clustering interval data through kernel-induced feature space.
J. Intell. Inf. Syst., 2013

Fuzzy Kohonen clustering networks for interval data.
Neurocomputing, 2013

Robust regression with application to symbolic interval data.
Eng. Appl. Artif. Intell., 2013

A multivariate fuzzy c-means method.
Appl. Soft Comput., 2013

An interval nonparametric regression method.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A shape descriptor based on symbolic data analysis.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Hierarchical Classification of Vehicle Images Using NN with Conditional Adaptive Distance.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Estimation Methods of Presumed Income.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Fuzzy learning vector quantization approaches for interval data.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Possibilistic approach to clustering of interval data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

An image vehicle classification method based on edge and PCA applied to blocks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Texture retrieval using co-occurrence matrix and symbolic interval data under scale and rotation invariance.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

IFKCN: Applying fuzzy Kohonen clustering network to interval data.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Comparative Analysis of Clustering Algorithms Applied to the Classification of Bugs.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Assessing Reliability of Substation Spare Current Transformer System.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Vehicle Image Classification Based on Edge: Features and Distances Comparison.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

A Weighted Learning Vector Quantization Approach for Interval Data.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A novel adaptive fuzzy c-means algorithm for interval data type.
Proceedings of the FUZZ-IEEE 2012, 2012

texture classification based on symbolic data analysis.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Logistic regression-based pattern classifiers for symbolic interval data.
Pattern Anal. Appl., 2011

A K-medoids clustering algorithm for mixed feature-type symbolic data.
Proceedings of the IEEE International Conference on Systems, 2011

Pattern classifiers with adaptive distances.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Kernel-based fuzzy clustering of interval data.
Proceedings of the FUZZ-IEEE 2011, 2011

A partitioning method for symbolic interval data based on kernelized metric.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A robust method for linear regression of symbolic interval data.
Pattern Recognit. Lett., 2010

Unsupervised pattern recognition models for mixed feature-type symbolic data.
Pattern Recognit. Lett., 2010

Texture classification based on co-occurrence matrix and self-organizing map.
Proceedings of the IEEE International Conference on Systems, 2010

Software Defect Estimation using Support Vector Regression.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

A kernel k-means clustering method for symbolic interval data.
Proceedings of the International Joint Conference on Neural Networks, 2010

K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
A Self-organizing Based Approach for Bug Reports Retrieval.
J. Digit. Inf. Manag., 2009

Nearest-Neighborhood Linear Regression in an Application with Software Effort Estimation.
Proceedings of the IEEE International Conference on Systems, 2009

Effort Drivers Estimation for Brazilian Geographically Distributed Software Development.
Proceedings of the Software Engineering Approaches for Offshore and Outsourced Development, 2009

A Robust Prediction Method for Interval Symbolic Data.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance.
Proceedings of the Artificial Neural Networks, 2009

2008
A multi-class logistic regression model for interval data.
Proceedings of the IEEE International Conference on Systems, 2008

A Symbolic Pattern Classifier for Interval Data Based on Binary Probit Analysis.
Proceedings of the KI 2008: Advances in Artificial Intelligence, 2008

Image retrieval using the curvature scale space (CSS) descriptor and the self-organizing map (SOM) model under scale invariance.
Proceedings of the International Joint Conference on Neural Networks, 2008

A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Two pattern classifiers for interval data based on binary regression models.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

Bug reports retrieval using Self-organizing Map.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

Bagging for a Region Oriented Symbolic Classifier.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

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

Image retrieval using the curvature scale space (CSS) technique and the self-organizing map (SOM) model under rotation.
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 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

Image Retrieval Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model under Affine Transforms.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

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

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

A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance.
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

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

A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

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

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

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


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