Publications

Journals

Cabral, G.G., Minku, L.L., Oliveira, A.L. et al. An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. Empir Software Eng 28, 121 (2023). https://doi.org/10.1007/s10664-023-10335-6
G. G. Cabral and L. L. Minku, “Towards Reliable Online Just-in-Time Software Defect Prediction,” in IEEE Transactions on Software Engineering, vol. 49, no. 3, pp. 1342-1358, 1 March 2023, doi: 10.1109/TSE.2022.3175789.
CABRAL, G. G.; Oliveira, A.L.I. . One-Class Classification based on searching for the problem features limits. Expert Systems with Applications, p. 7182-7199, 2014.
CABRAL, G. G.; Oliveira, A.L.I. ; CAHU, C. B. . Combining Nearest Neighbor Data Description and Structural Risk Minimization for One-Class Classification. Neural Computing & Applications

Conferences

Cabral, George G.; VALENÇA, GEORGE ; SOUZA, CAMILA N. P. ; EMANNUEL, YVES . Contabilidade Pública - uma Ferramenta de Suporte à Auditoria de Dados em Municípios do Estado de Pernambuco. In: Workshop de Computação Aplicada em Governo Eletrônico, 2023, Brasil. Anais do XI Workshop de Computação Aplicada em Governo Eletrônico (WCGE 2023), 2023. p. 177.
EMMANUEL, Y. ; SILVA, F. S. ; G. CABRAL, GEORGE ; SANTOS, G. A. V. . Inovação na Contabilidade Pública - uma Solução que Analisa Atrasos de Pagamentos em Municípios Pernambucanos. In: Simposio Brasileiro de Sistemas de Informação, 2023, Maceió. XIX Simpósio Brasileiro de Sistemas de Informação, 2023.
TABASSUM, S. ; L. MINKU, LEANDRO ; FENG, D. ; G. CABRAL, GEORGE ; SONG, L. . An Investigation of Cross-Project Learning in Online Just-In-Time Software Defect Prediction. In: 42nd International Conference on Software Engineering (ICSE 2020), 2020, Seoul. International Conference on Software Engineering, 2020.
CABRAL, G. G.; MINKU, L. L. ; SHIHAB, E. ; MUJAHID, S. . Class imbalance evolution and verification latency in just-in-time software defect prediction. In: International Conference on Software Engineering (ICSE), 2019, Montreal. ICSE ‘19 Proceedings of the 41st International Conference on Software Engineering, 2019. p. 666-676.
H. F. M. OLIVEIRA, GUSTAVO ; C. CAVALCANTE, RODOLFO ; G. CABRAL, GEORGE ; L. MINKU, LEANDRO ; L. I. OLIVEIRA, ADRIANO . Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017, Boston. 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017. p. 239.
CABRAL, G. G.; Oliveira, A.L.I. . Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples. In: Brazilian Conference on Intelligent System (BRACIS), 2016, Recife. Brazilian Conference on Intelligent System, 2016.
PINTO NETO, E. ; CARVALHO, D. ; CABRAL, G. G. ; ROLIM, F. ; FERREIRA, R. ; CALLOU, G. . Identifying Marijuana Users Using Text Mining Techniques. In: Encontro Nacional de Intelig?encia Artificial e Computacional, 2016, RECIFE. XIII Encontro Nacional de Intelig?encia Artificial e Computacional.
CABRAL, G. G.; Oliveira, A.L.I. . One-class Classification for Heart Disease Diagnosis. In: IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, 2014, San Diego. IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, 2014.
TAVARES, T. R. ; Oliveira, A.L.I. ; CABRAL, G. G. ; MATTOS, S. S. ; GRIGORIO, R. . Preprocessing Unbalanced Data using Weighted Support Vector Machines for Prediction of Heart Disease in Children. In: International Joint Conference on Neural Networks, 2013, Dallas. International Joint Conference on Neural Networks, 2013.
CABRAL, G. G.; Oliveira, A.L.I. . One-class classification through optimized feature boundaries detection and prototype reduction. In: International Conference on Artificial Neural Networks, 2012, Lausanne. International Conference on Artificial Neural Networks, 2012.
Farias, G. P. M. ; Oliveira, A.L.I. ; CABRAL, G. G. . Extreme Learning Machines for Intrusion Detection Systems. In: International Conference on Neural Information Processing (ICONIP2012), 2012, Doha. International Conference on Neural Information Processing (ICONIP2012), 2012.
CABRAL, G. G.; Oliveira, A.L.I. . A Novel One-Class Classification Method Based on Feature Analysis and Prototype Reduction. In: Systems, Man, and Cybernetics (SMC), 2011, Anchorage - AK - USA. IEEE Int Conf on Systems, Man, and Cybernetics.
CABRAL, G. G.; Oliveira, A.L.I. . A Hybrid Method for Novelty Detection in Time Series Based on States Transitions and Swarm Intelligence. In: World Congress On Computational Intelligence, 2010, Barcelona. International Joint Conference on Neural Networks, 2010.
CABRAL, G. G.; Oliveira, A.L.I. . Detecção de Novidades em Séries Temporais: Uma Abordagem Automática Baseada na Transição Entre Estados e Utilizando Enxame de Partículas. In: Joint Conference 2010, 2010, São Bernardo do Campo - SP. Workshop on Computational Intelligence, 2010. (In protuguese)
MONTENEGRO, R. D. ; Oliveira, A.L.I. ; CABRAL, G. G. ; KATZ, C. ; ROSENBLATT, A. . A Comparative Study of Machine Learning Techniques for Caries Prediction. In: IEEE International Conference on Tools with Artificial Intelligence, 2008, Dayton. (ICTAI’2008), 2008.
CABRAL, G. G.; Oliveira, A.L.I. . A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule. In: IFIP International Conference on Artificial Intelligence in Theory and Practice (part of IFIP World Computer Congress (WCC2008)), 2008, Milão. IFIP World Computer Congress (WCC’2008), 2008.
CABRAL, G. G.; Oliveira, A.L.I. ; CAHU, C. B. . A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. In: IEEE Internacional Joint Conference on Neural Networks, 2007, Orlando, Flórida, USA. IEEE Internacional Joint Conference on Neural Networks (IJCNN´2007), 2007. p. 1976-1981.