A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. - George G. Cabral; Adriano L. I. Oliveira; Carlos B. G. Cahu (IJCNN, 2007)

A Comparative Study of Machine Learning Techniques for Caries Prediction. - Robson D. Montenegro; Adriano L. I. Oliveira; George G. Cabral; Cintia R. T. Katz; Aronita Rosenblatt (ICTAI (2), 2008)

A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule. - George G. Cabral; Adriano L. I. Oliveira (IFIP AI, 2008)

Combining nearest neighbor data description and structural risk minimization for one-class classification. - George G. Cabral; Adriano L. I. Oliveira; Carlos B. G. Cahu (Neural Comput. Appl., 2009)

A hybrid method for novelty detection in time series based on states transitions and swarm intelligence. - George G. Cabral; Adriano L. I. Oliveira (IJCNN, 2010)

A novel one-class classification method based on feature analysis and prototype reduction. - George Gomes Cabral; Adriano Lorena Inacio de Oliveira (SMC, 2011)

One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction. - George G. Cabral; Adriano L. I. Oliveira (ICANN (1), 2012)

Extreme Learning Machines for Intrusion Detection Systems. - Gilles Paiva M. de Farias; Adriano L. I. de Oliveira; George G. Cabral (ICONIP (4), 2012)

Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children. - Thiago Tavares; Adriano L. I. Oliveira; George G. Cabral; Sandra da Silva Mattos; Renata Grigorio (IJCNN, 2013)

One-class Classification for heart disease diagnosis. - George Gomes Cabral; Adriano Lorena Inácio de Oliveira (SMC, 2014)

One-Class Classification based on searching for the problem features limits. - George G. Cabral; Adriano L. I. Oliveira (Expert Syst. Appl., 2014)

Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples. - George Gomes Cabral; Adriano Lorena Inacio de Oliveira (BRACIS, 2016)

Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. - Gustavo H. F. M. Oliveira; Rodolfo Carneiro Cavalcante; George G. Cabral; Leandro L. Minku; Adriano L. I. Oliveira (ICTAI, 2017)

Class imbalance evolution and verification latency in just-in-time software defect prediction. - George G. Cabral; Leandro L. Minku; Emad Shihab; Suhaib Mujahid (ICSE, 2019)

An investigation of cross-project learning in online just-in-time software defect prediction. - Sadia Tabassum; Leandro L. Minku; Danyi Feng; George G. Cabral; Liyan Song (ICSE, 2020)

Towards Reliable Online Just-in-Time Software Defect Prediction. - George G. Cabral; Leandro L. Minku (IEEE Trans. Software Eng., 2023)

An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. - George G. Cabral; Leandro L. Minku; Adriano L. I. Oliveira; Dinaldo A. Pessoa; Sadia Tabassum (Empir. Softw. Eng., 2023)

Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction. - George G. Cabral; Leandro L. Minku; Adriano L. I. Oliveira; Dinaldo A. Pessoa; Sadia Tabassum (Empir. Softw. Eng., 2024)

Ad-hoc v.s LLM based System for Information Retrieval in Large Tabular Data: A Comparative Study in Public Medicine Procurement Audits. - Arthur L. Silva; Adriano M. A. Lima; George Valença; George G. Cabral (SBSI, 2025)