| 2008 |
|---|
| 9 | EE | Rodrigo A. Vivanco,
Dean Jin:
Enhancing predictive models using principal component analysis and search based metric selection: a comparative study.
ESEM 2008: 273-275 |
| 2007 |
|---|
| 8 | EE | Rodrigo A. Vivanco,
Dean Jin:
Improving predictive models of cognitive complexity using an evolutionary computational approach: a case study.
CASCON 2007: 109-123 |
| 7 | EE | Rodrigo A. Vivanco:
Use of a Genetic Algorithm to Identify Source Code Metrics Which Improves Cognitive Complexity Predictive Models.
ICPC 2007: 297-300 |
| 6 | EE | Rodrigo A. Vivanco,
Dean Jin:
Selecting object-oriented source code metrics to improve predictive models using a parallel genetic algorithm.
OOPSLA Companion 2007: 769-770 |
| 2005 |
|---|
| 5 | EE | Aleksander B. Demko,
Rodrigo A. Vivanco,
Nicolino J. Pizzi:
Scopira: an open source C++ framework for biomedical data analysis applications -- a research project report.
OOPSLA Companion 2005: 138-139 |
| 4 | EE | Rodrigo A. Vivanco,
Nicolino J. Pizzi:
Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages.
Softw., Pract. Exper. 35(3): 237-254 (2005) |
| 2004 |
|---|
| 3 | EE | Rodrigo A. Vivanco,
Nicolino J. Pizzi:
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm.
GECCO (2) 2004: 1388-1399 |
| 2002 |
|---|
| 2 | | Ray L. Somorjai,
Rodrigo A. Vivanco,
Nicolino J. Pizzi:
A novel, direct spatio-temporal approach for analyzing fMRI experiments.
Artificial Intelligence in Medicine 25(1): 5-17 (2002) |
| 2001 |
|---|
| 1 | | Nicolino J. Pizzi,
Rodrigo A. Vivanco,
Ray L. Somorjai:
EvIdent(TM): a functional magnetic resonance image analysis system.
Artificial Intelligence in Medicine 21(1-3): 263-269 (2001) |
