Roberta A. de A. Fagundes

According to our database, Roberta A. de A. Fagundes authored at least 43 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anomaly Detection in Smart Houses for Healthcare.

Yves M. Galvão, Letícia Castro, Janderson Ferreira, Fernando Buarque de Lima Neto, Roberta Andrade de Araújo Fagundes, Bruno J. T. Fernandes

SN Comput. Sci., January, 2024

Understanding the Relationship of Conflict, Psychological safety, and Success in Software Development Projects.

Wladimir Farias, Brenda Silva, Maria Lencastre, Roberta Fagundes

Proceedings of the 38th Brazilian Symposium on Software Engineering, 2024

Analyzing Patterns of Violence Against Women in Pernambuco Using Self-Organizing Maps and Apriori Algorithm.

Brenda Barros Alves Da Silva, Rodolfo Moreira Pereira, Cleyton Mário de Oliveira Rodrigues, Roberta Andrade de Araújo Fagundes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024

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., February, 2023

Identifying and Measuring Technical Debt in Software Requirements: a supporting guide.

Ana Carolina Candido de Melo, NatháLia Accioly, Roberta Fagundes, Wylliams Santos

Proceedings of the XIX Brazilian Symposium on Information Systems, 2023

2022

Identification and measurement of Requirements Technical Debt in software development: A systematic literature review.

Ana Carolina Candido de Melo, Roberta Fagundes, Valentina Lenarduzzi, Wylliams Barbosa Santos

J. Syst. Softw., 2022

Learning Under Concept Drift for Regression - A Systematic Literature Review.

Marília Lima, Manoel Alves de Almeida Neto, Telmo de Menezes e Silva Filho, Roberta A. de A. Fagundes

IEEE Access, 2022

A Comparison Study About Parameter Optimization Using Swarm Algorithms.

Halcyon Davys Pereira De Carvalho, Wedson Lino Soares, Wylliams Barbosa Santos, Roberta Fagundes

IEEE Access, 2022

Regression models based in optimized Ensemble of Extreme Learning Machine Networks.

Wedson Lino Soares, Halcyon Davys Pereira De Carvalho, Wylliams Barbosa Santos, Roberta Andrade de Araújo Fagundes

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

Identification and Measurement of Technical Debt Requirements in Software Development: a Systematic Literature Review.

Ana Carolina Candido de Melo, Roberta Fagundes, Valentina Lenarduzzi, Williams Santos

CoRR, 2021

A Framework for Anomaly Identification Applied on Fall Detection.

Yves M. Galvão, Letícia Portela, Janderson Ferreira, Pablo Barros, Roberta Andrade de Araújo Fagundes, Bruno J. T. Fernandes

IEEE Access, 2021

Extreme Learning Machine Applied to Software Development Effort Estimation.

Halcyon Davys Pereira De Carvalho, Roberta Fagundes, Wylliams Santos

IEEE Access, 2021

Identificação e Mensuração da Dívida Técnica de Requisitos: Um Survey na Indústria de Software.

Ana Carolina Candido de Melo, Roberta Andrade de Araújo Fagundes, José Vinícius Vieira Lima, Fernanda M. R. Alencar, Wylliams Barbosa Santos

Proceedings of the Anais do WER21, 2021

A Comparative Study on Concept Drift Detectors for Regression.

Marília Lima, Telmo de Menezes e Silva Filho, Roberta Fagundes

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Approaches to Predicting Educational Problems: A Systematic Mapping.

Paulo Silva, Fernando da Fonseca de Souza, Roberta Fagundes

Proceedings of the SBSI'20: XVI Brazilian Symposium on Information Systems, 2020

Fostering Industry-Academia Collaboration in Software Engineering using Action Research: A Case Study.

Aline F. Barbosa, Geraldo Torres G. Neto, Maria Lencastre, Roberta A. de A. Fagundes, Wylliams Barbosa Santos

Proceedings of the 19th Brazilian Symposium on Software Quality, 2020

2019

Towards an Understanding of Value Creation in Agile Software Development.

Geraldo Torres G. Neto, Wylliams Barbosa Santos, Roberta A. de A. Fagundes, Tiziana Margaria

Proceedings of the XV Brazilian Symposium on Information Systems, 2019

A Model for Diagnosis of Alzheimer's Disease Using Haralick Texture Features and Meta Feature Selection.

Iago Richard Rodrigues Silva, Marília Nayara Clemente de Almeida Lima, Wellington Pinheiro dos Santos, Roberta Andrade de Araújo Fagundes

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Educational Data Mining: A Hybrid Approach to Predicting Academic Performance of Students.

Marília Nayara Clemente de Almeida Lima, Geovanne Oliveira Alves, Wedson Lino Soares, Roberta Andrade de Araújo Fagundes

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Model Based on Deep Feature Extraction for Diagnosis of Alzheimer's Disease.

Iago R. R. Silva, Gabriela S. L. Silva, Rodrigo G. de Souza, Wellington P. dos Santos, Roberta A. de A. Fagundes

Proceedings of the International Joint Conference on Neural Networks, 2019

Prediction of School Efficiency Rates through Ensemble Regression Application.

Rafaella L. S. do Nascimento, Roberta A. de A. Fagundes, Alexandre M. A. Maciel

Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Anomaly Detection on Student Assessment in E-Learning Environments.

Emanuel Carneiro, Patrícia Drapal, Roberta A. de A. Fagundes, Alexandre M. A. Maciel, Rodrigo L. Rodrigues

Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Multivocal literature reviews in software engineering: Preliminary findings from a tertiary study.

Geraldo Torres G. Neto, Wylliams Barbosa Santos, Patricia Takako Endo, Roberta A. de A. Fagundes

Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

Ensemble Regression Models Applied to Dropout in Higher Education.

Paulo M. da Silva, Marília Nayara Clemente de Almeida Lima, Wedson Lino Soares, Iago R. R. Silva, Roberta A. de A. Fagundes, Fernado F. de Souza

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Interval quantile regression models based on swarm intelligence.

Yanne M. G. Soares, Roberta A. de A. Fagundes

Appl. Soft Comput., 2018

Mechanisms to Support Requirements Prioritization: A Systematic Mapping Review.

Cinthya Cavalcanti, Maria Lencastre, Roberta Fagundes, Tainã Santos, Daniel Ferreira

Proceedings of the Anais do WER18, 2018

Gamification in Requirements Engineering: A Systematic Review.

Rodrigo Cursino, Daniel Ferreira, Maria Lencastre, Roberta Fagundes, João Pimentel

Proceedings of the 11th International Conference on the Quality of Information and Communications Technology, 2018

Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression Strength.

Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes, Carmelo J. A. Bastos Filho

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Educational Data Mining: An Application of Regressors in Predicting School Dropout.

Rafaella Leandra Souza do Nascimento, Ricardo Batista das Neves Junior, Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters.

Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes, Carmelo J. A. Bastos Filho

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Software time estimation using regression methods.

Yanne Micaele Gomes Soares, Roberta Andrade de Araújo Fagundes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

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

Quantile regression of interval-valued data.

Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Yanne M. G. Soares

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014

Interval kernel regression.

Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros

Neurocomputing, 2014

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

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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2010

Software Defect Estimation using Support Vector Regression.

Roberta A. de A. Fagundes, Renata M. C. R. de Souza

Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

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

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

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

Proceedings of the IEEE International Conference on Systems, 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

Proceedings of the KI 2008: Advances in Artificial Intelligence, 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

Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

2007

Performance Evaluation of CORBA Concurrency Control Service Using Stochastic Petri Nets.

Roberta A. de A. Fagundes, Paulo Romero Martins Maciel, Nelson S. Rosa

RITA, 2007