George G. Cabral

20 papers A* 2B 6Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
Ad-hoc v.s LLM based System for Information Retrieval in Large Tabular Data: A Comparative Study in Public Medicine Procurement Audits.
SBSI
Arthur L. Silva, Adriano M. A. Lima, George Valença, George G. Cabral
2025 J jnl
CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization.
CoRR
Monique Louise Monteiro, George G. Cabral, Adriano Lorena Inácio de Oliveira
2025 J jnl
Dynamic Swarm Intelligence for Time Series Forecasting in the Presence of Concept Drift.
SN Comput. Sci.
Gustavo H. F. M. Oliveira, George G. Cabral, Augusto César Ferreira de Miranda Oliveira, Marília Miranda Oliveira, Leandro L. Minku, Adriano Lorena Inácio de Oliveira
2025 B conf
Offline and Continual Just-in-Time Software Defect Prediction with Pre-trained Language Models.
SMC
Monique Louise Monteiro, George G. Cabral, Adriano Lorena Inácio de Oliveira
2025 B conf
Semantic SZZ: Mitigating the Impact of Misclassified Corrective Changes in Just-in-Time Software Defect Prediction.
SMC
Ronaldo C. Veras, George G. Cabral, Adriano Lorena Inacio de Oliveira
2024 J jnl
Correction to: An investigation of online and offline learning models for online just-in-time software defect prediction.
Empir. Softw. Eng.
George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum
2023 J jnl
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction.
Empir. Softw. Eng.
George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum
2023 J jnl
Towards Reliable Online Just-in-Time Software Defect Prediction.
IEEE Trans. Software Eng.
George G. Cabral, Leandro L. Minku
2020 A* conf
An investigation of cross-project learning in online just-in-time software defect prediction.
ICSE
Sadia Tabassum, Leandro L. Minku, Danyi Feng, George G. Cabral, Liyan Song
2019 A* conf
Class imbalance evolution and verification latency in just-in-time software defect prediction.
ICSE
George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid
2017 B conf
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach.
ICTAI
Gustavo H. F. M. Oliveira, Rodolfo Carneiro Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira
2014 J jnl
One-Class Classification based on searching for the problem features limits.
Expert Syst. Appl.
George G. Cabral, Adriano L. I. Oliveira
2013 B conf
Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children.
IJCNN
Thiago Tavares, Adriano L. I. Oliveira, George G. Cabral, Sandra da Silva Mattos, Renata Grigorio
2012 — conf
Extreme Learning Machines for Intrusion Detection Systems.
ICONIP (4)
Gilles Paiva M. de Farias, Adriano L. I. de Oliveira, George G. Cabral
2012 — conf
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction.
ICANN (1)
George G. Cabral, Adriano L. I. Oliveira
2010 B conf
A hybrid method for novelty detection in time series based on states transitions and swarm intelligence.
IJCNN
George G. Cabral, Adriano L. I. Oliveira
2009 J jnl
Combining nearest neighbor data description and structural risk minimization for one-class classification.
Neural Comput. Appl.
George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu
2008 — conf
A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule.
IFIP AI
George G. Cabral, Adriano L. I. Oliveira
2008 — conf
A Comparative Study of Machine Learning Techniques for Caries Prediction.
ICTAI (2)
Robson D. Montenegro, Adriano L. I. Oliveira, George G. Cabral, Cintia R. T. Katz, Aronita Rosenblatt
2007 B conf
A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization.
IJCNN
George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu