George G. Cabral

According to our database, George G. Cabral authored at least 17 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., October, 2023

Towards Reliable Online Just-in-Time Software Defect Prediction.

George G. Cabral, Leandro L. Minku

IEEE Trans. Software Eng., March, 2023

2020

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

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Class imbalance evolution and verification latency in just-in-time software defect prediction.

George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid

Proceedings of the 41st International Conference on Software Engineering, 2019

2017

Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach.

Gustavo H. F. M. Oliveira, Rodolfo C. Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples.

George Gomes Cabral, Adriano Lorena Inacio de Oliveira

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2014

One-Class Classification based on searching for the problem features limits.

George G. Cabral, Adriano L. I. Oliveira

Expert Syst. Appl., 2014

One-class Classification for heart disease diagnosis.

George Gomes Cabral, Adriano Lorena Inácio de Oliveira

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Extreme Learning Machines for Intrusion Detection Systems.

Gilles Paiva M. de Farias, Adriano L. I. de Oliveira, George G. Cabral

Proceedings of the Neural Information Processing - 19th International Conference, 2012

One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction.

George G. Cabral, Adriano L. I. Oliveira

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

A novel one-class classification method based on feature analysis and prototype reduction.

George Gomes Cabral, Adriano Lorena Inacio de Oliveira

Proceedings of the IEEE International Conference on Systems, 2011

2010

A hybrid method for novelty detection in time series based on states transitions and swarm intelligence.

George G. Cabral, Adriano L. I. Oliveira

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

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

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

Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

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

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007

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

Proceedings of the International Joint Conference on Neural Networks, 2007