Roberta A. de A. Fagundes

Orcid: 0000-0002-7172-4183

Affiliations:
  • University of Pernambuco, Recife, Brazil


According to our database1, Roberta A. de A. Fagundes authored at least 41 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Anomaly Detection in Smart Houses for Healthcare.
SN Comput. Sci., January, 2024

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

Identifying and Measuring Technical Debt in Software Requirements: a supporting guide.
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.
J. Syst. Softw., 2022

Learning Under Concept Drift for Regression - A Systematic Literature Review.
IEEE Access, 2022

A Comparison Study About Parameter Optimization Using Swarm Algorithms.
IEEE Access, 2022

Regression models based in optimized Ensemble of Extreme Learning Machine Networks.
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.
CoRR, 2021

A Framework for Anomaly Identification Applied on Fall Detection.
IEEE Access, 2021

Extreme Learning Machine Applied to Software Development Effort Estimation.
IEEE Access, 2021

Identificação e Mensuração da Dívida Técnica de Requisitos: Um Survey na Indústria de Software.
Proceedings of the Anais do WER21, 2021

A Comparative Study on Concept Drift Detectors for Regression.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Approaches to Predicting Educational Problems: A Systematic Mapping.
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.
Proceedings of the 19th Brazilian Symposium on Software Quality, 2020

2019
Towards an Understanding of Value Creation in Agile Software Development.
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.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Educational Data Mining: A Hybrid Approach to Predicting Academic Performance of Students.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Model Based on Deep Feature Extraction for Diagnosis of Alzheimer's Disease.
Proceedings of the International Joint Conference on Neural Networks, 2019

Prediction of School Efficiency Rates through Ensemble Regression Application.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Anomaly Detection on Student Assessment in E-Learning Environments.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Multivocal literature reviews in software engineering: Preliminary findings from a tertiary study.
Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

Ensemble Regression Models Applied to Dropout in Higher Education.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Interval quantile regression models based on swarm intelligence.
Appl. Soft Comput., 2018

Mechanisms to Support Requirements Prioritization: A Systematic Mapping Review.
Proceedings of the Anais do WER18, 2018

Gamification in Requirements Engineering: A Systematic Review.
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.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Educational Data Mining: An Application of Regressors in Predicting School Dropout.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Software time estimation using regression methods.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

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

2014
Interval kernel regression.
Neurocomputing, 2014

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

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

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

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

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

Two pattern classifiers for interval data based on binary regression models.
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.
RITA, 2007


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