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George G. Cabral
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2020 – today
- 2023
- [j4]George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira, Dinaldo A. Pessoa, Sadia Tabassum:
An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. Empir. Softw. Eng. 28(5): 121 (2023) - [j3]George G. Cabral, Leandro L. Minku:
Towards Reliable Online Just-in-Time Software Defect Prediction. IEEE Trans. Software Eng. 49(3): 1342-1358 (2023) - 2020
- [c13]Sadia Tabassum, Leandro L. Minku, Danyi Feng, George G. Cabral, Liyan Song:
An investigation of cross-project learning in online just-in-time software defect prediction. ICSE 2020: 554-565
2010 – 2019
- 2019
- [c12]George G. Cabral, Leandro L. Minku, Emad Shihab, Suhaib Mujahid:
Class imbalance evolution and verification latency in just-in-time software defect prediction. ICSE 2019: 666-676 - 2017
- [c11]Gustavo H. F. M. Oliveira, Rodolfo Carneiro Cavalcante, George G. Cabral, Leandro L. Minku, Adriano L. I. Oliveira:
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach. ICTAI 2017: 239-246 - 2016
- [c10]George Gomes Cabral, Adriano Lorena Inacio de Oliveira:
Novelty Detection Based on Genuine Normal and Artificially Generated Novelty Examples. BRACIS 2016: 319-324 - 2014
- [j2]George G. Cabral, Adriano L. I. Oliveira:
One-Class Classification based on searching for the problem features limits. Expert Syst. Appl. 41(16): 7182-7199 (2014) - [c9]George Gomes Cabral, Adriano Lorena Inácio de Oliveira:
One-class Classification for heart disease diagnosis. SMC 2014: 2551-2556 - 2013
- [c8]Thiago Tavares, Adriano L. I. Oliveira, George G. Cabral, Sandra da Silva Mattos, Renata Grigorio:
Preprocessing unbalanced data using weighted support vector machines for prediction of heart disease in children. IJCNN 2013: 1-8 - 2012
- [c7]George G. Cabral, Adriano L. I. Oliveira:
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction. ICANN (1) 2012: 693-700 - [c6]Gilles Paiva M. de Farias, Adriano L. I. de Oliveira, George G. Cabral:
Extreme Learning Machines for Intrusion Detection Systems. ICONIP (4) 2012: 535-543 - 2011
- [c5]George Gomes Cabral, Adriano Lorena Inacio de Oliveira:
A novel one-class classification method based on feature analysis and prototype reduction. SMC 2011: 983-988 - 2010
- [c4]George G. Cabral, Adriano L. I. Oliveira:
A hybrid method for novelty detection in time series based on states transitions and swarm intelligence. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j1]George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu:
Combining nearest neighbor data description and structural risk minimization for one-class classification. Neural Comput. Appl. 18(2): 175-183 (2009) - 2008
- [c3]Robson D. Montenegro, Adriano L. I. Oliveira, George G. Cabral, Cintia R. T. Katz, Aronita Rosenblatt:
A Comparative Study of Machine Learning Techniques for Caries Prediction. ICTAI (2) 2008: 477-481 - [c2]George G. Cabral, Adriano L. I. Oliveira:
A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule. IFIP AI 2008: 245-254 - 2007
- [c1]George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu:
A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization. IJCNN 2007: 1976-1981
Coauthor Index
aka: Adriano Lorena Inacio de Oliveira
aka: Adriano L. I. de Oliveira
aka: Adriano L. I. Oliveira
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