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ORCIDRoberta A. de A. Fagundes
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- affiliation: University of Pernambuco, Recife, Brazil
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2020 – today
- 2024
[j12]Yves M. Galvão
, Letícia Castro, Janderson Ferreira, Fernando Buarque de Lima Neto, Roberta Andrade de Araújo Fagundes, Bruno J. T. Fernandes:
Anomaly Detection in Smart Houses for Healthcare. SN Comput. Sci. 5(1): 136 (2024)- 2023
- [j11]Rafaella L. S. do Nascimento, Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario. Pattern Anal. Appl. 26(1): 39-59 (2023) - [c28]Ana Carolina Candido de Melo, NatháLia Accioly, Roberta Fagundes, Wylliams Santos:
Identifying and Measuring Technical Debt in Software Requirements: a supporting guide. SBSI 2023: 356-363 - 2022
- [j10]Marília Lima, Manoel Alves de Almeida Neto, Telmo de Menezes e Silva Filho, Roberta A. de A. Fagundes:
Learning Under Concept Drift for Regression - A Systematic Literature Review. IEEE Access 10: 45410-45429 (2022) - [j9]Halcyon Davys Pereira De Carvalho, Wedson Lino Soares, Wylliams Barbosa Santos, Roberta Fagundes:
A Comparison Study About Parameter Optimization Using Swarm Algorithms. IEEE Access 10: 55488-55498 (2022) - [j8]Ana Carolina Candido de Melo, Roberta Fagundes, Valentina Lenarduzzi, Wylliams Barbosa Santos:
Identification and measurement of Requirements Technical Debt in software development: A systematic literature review. J. Syst. Softw. 194: 111483 (2022) - [c27]Wedson Lino Soares, Halcyon Davys Pereira De Carvalho, Wylliams Barbosa Santos, Roberta Andrade de Araújo Fagundes:
Regression models based in optimized Ensemble of Extreme Learning Machine Networks. SMC 2022: 1140-1146 - 2021
- [j7]Yves M. Galvão, Letícia Portela, Janderson Ferreira, Pablo Barros, Roberta Andrade de Araújo Fagundes, Bruno J. T. Fernandes:
A Framework for Anomaly Identification Applied on Fall Detection. IEEE Access 9: 77264-77274 (2021) - [j6]Halcyon Davys Pereira De Carvalho, Roberta Fagundes, Wylliams Santos:
Extreme Learning Machine Applied to Software Development Effort Estimation. IEEE Access 9: 92676-92687 (2021) - [c26]Marília Lima, Telmo de Menezes e Silva Filho, Roberta Fagundes:
A Comparative Study on Concept Drift Detectors for Regression. BRACIS (1) 2021: 390-405 - [c25]Ana Carolina Candido de Melo, Roberta Andrade de Araújo Fagundes, José Vinícius Vieira Lima, Fernanda M. R. Alencar, Wylliams Barbosa Santos:
Identificação e Mensuração da Dívida Técnica de Requisitos: Um Survey na Indústria de Software. WER 2021 - [i1]Ana Carolina Candido de Melo, Roberta Fagundes, Valentina Lenarduzzi, Williams Santos:
Identification and Measurement of Technical Debt Requirements in Software Development: a Systematic Literature Review. CoRR abs/2105.14232 (2021) - 2020
- [c24]Aline F. Barbosa, Geraldo Torres G. Neto, Maria Lencastre, Roberta A. de A. Fagundes, Wylliams Barbosa Santos:
Fostering Industry-Academia Collaboration in Software Engineering using Action Research: A Case Study. SBQS 2020: 44 - [c23]Paulo Silva, Fernando da Fonseca de Souza, Roberta Fagundes:
Approaches to Predicting Educational Problems: A Systematic Mapping. SBSI 2020: 46:1-46:8
2010 – 2019
- 2019
- [c22]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:
Ensemble Regression Models Applied to Dropout in Higher Education. BRACIS 2019: 120-125 - [c21]Geraldo Torres G. Neto, Wylliams Barbosa Santos, Patricia Takako Endo, Roberta A. de A. Fagundes:
Multivocal literature reviews in software engineering: Preliminary findings from a tertiary study. ESEM 2019: 1-6 - [c20]Emanuel Carneiro, Patrícia Drapal, Roberta A. de A. Fagundes, Alexandre M. A. Maciel, Rodrigo L. Rodrigues:
Anomaly Detection on Student Assessment in E-Learning Environments. ICALT 2019: 168-169 - [c19]Rafaella L. S. do Nascimento, Roberta A. de A. Fagundes, Alexandre M. A. Maciel:
Prediction of School Efficiency Rates through Ensemble Regression Application. ICALT 2019: 194-198 - [c18]Iago R. R. Silva, Gabriela S. L. Silva, Rodrigo G. de Souza, Wellington P. dos Santos, Roberta A. de A. Fagundes:
Model Based on Deep Feature Extraction for Diagnosis of Alzheimer's Disease. IJCNN 2019: 1-7 - [c17]Iago Richard Rodrigues Silva, Marília Nayara Clemente de Almeida Lima, Wellington Pinheiro dos Santos, Roberta Andrade de Araújo Fagundes:
A Model for Diagnosis of Alzheimer's Disease Using Haralick Texture Features and Meta Feature Selection. MLDM (1) 2019: 132-145 - [c16]Marília Nayara Clemente de Almeida Lima, Geovanne Oliveira Alves, Wedson Lino Soares, Roberta Andrade de Araújo Fagundes:
Educational Data Mining: A Hybrid Approach to Predicting Academic Performance of Students. MLDM (2) 2019: 500-514 - [c15]Geraldo Torres G. Neto, Wylliams Barbosa Santos, Roberta A. de A. Fagundes, Tiziana Margaria:
Towards an Understanding of Value Creation in Agile Software Development. SBSI 2019: 46:1-46:8 - 2018
- [j5]Yanne M. G. Soares, Roberta A. de A. Fagundes:
Interval quantile regression models based on swarm intelligence. Appl. Soft Comput. 72: 474-485 (2018) - [c14]Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes, Carmelo J. A. Bastos Filho:
Using Multi-objective Algorithms for Optimizing Support Vector Regression Parameters. IJCNN 2018: 1-8 - [c13]Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes, Carmelo J. A. Bastos Filho:
Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression Strength. MLDM (1) 2018: 126-137 - [c12]Rafaella Leandra Souza do Nascimento, Ricardo Batista das Neves Junior, Manoel Alves de Almeida Neto, Roberta Andrade de Araújo Fagundes:
Educational Data Mining: An Application of Regressors in Predicting School Dropout. MLDM (2) 2018: 246-257 - [c11]Rodrigo Cursino, Daniel Ferreira, Maria Lencastre, Roberta Fagundes, João Pimentel:
Gamification in Requirements Engineering: A Systematic Review. QUATIC 2018: 119-125 - [c10]Cinthya Cavalcanti, Maria Lencastre, Roberta Fagundes, Tainã Santos, Daniel Ferreira:
Mechanisms to Support Requirements Prioritization: A Systematic Mapping Review. WER 2018 - 2017
- [c9]Yanne Micaele Gomes Soares, Roberta Andrade de Araújo Fagundes:
Software time estimation using regression methods. LA-CCI 2017: 1-6 - 2016
- [j4]Roberta A. de A. Fagundes, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
Zero-inflated prediction model in software-fault data. IET Softw. 10(1): 1-9 (2016) - [c8]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Yanne M. G. Soares:
Quantile regression of interval-valued data. ICPR 2016: 2586-2591 - 2014
- [j3]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Interval kernel regression. Neurocomputing 128: 371-388 (2014) - 2013
- [j2]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Robust regression with application to symbolic interval data. Eng. Appl. Artif. Intell. 26(1): 564-573 (2013) - [c7]Roberta A. de A. Fagundes, Ricardo J. A. Queiroz Filho, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
An interval nonparametric regression method. IJCNN 2013: 1-7 - 2010
- [c6]Roberta A. de A. Fagundes, Renata M. C. R. de Souza:
Software Defect Estimation using Support Vector Regression. SEKE 2010: 265-268
2000 – 2009
- 2009
- [c5]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
A Robust Prediction Method for Interval Symbolic Data. ISDA 2009: 1019-1024 - [c4]Renata M. C. R. Souza, Luciana Q. Leal, Roberta A. de A. Fagundes, Hermano P. Moura, Cristine Gusmão:
Nearest-Neighborhood Linear Regression in an Application with Software Effort Estimation. SMC 2009: 5030-5034 - 2008
- [c3]Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes:
Two pattern classifiers for interval data based on binary regression models. ICDIM 2008: 632-637 - [c2]Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes:
A Symbolic Pattern Classifier for Interval Data Based on Binary Probit Analysis. KI 2008: 340-347 - [c1]Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes:
A multi-class logistic regression model for interval data. SMC 2008: 1253-1258 - 2007
- [j1]Roberta A. de A. Fagundes, Paulo Romero Martins Maciel, Nelson S. Rosa:
Performance Evaluation of CORBA Concurrency Control Service Using Stochastic Petri Nets. RITA 14(2): 109-132 (2007)
Coauthor Index
aka: Renata M. C. R. Souza
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