Fast noniterative registration of magnetic resonance images. - Nicolino J. Pizzi; Murray E. Alexander; Rodrigo A. Vivanco; Raymond L. Somorjai (Image Processing, 2001)

EvIdent(TM): a functional magnetic resonance image analysis system. - Nicolino J. Pizzi; Rodrigo A. Vivanco; Ray L. Somorjai (Artif. Intell. Medicine, 2001)

Computational performance of Java and C++ in processing fMRI datasets. - Rodrigo A. Vivanco; Nicolino Pizzi (OOPSLA Companion, 2002)

A novel, direct spatio-temporal approach for analyzing fMRI experiments. - Ray L. Somorjai; Rodrigo A. Vivanco; Nicolino J. Pizzi (Artif. Intell. Medicine, 2002)

Fuzzy Region Growing of fMRI Activation Areas. - Rodrigo A. Vivanco; Nicolino J. Pizzi (Image Processing, 2003)

Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm. - Rodrigo A. Vivanco; Nicolino J. Pizzi (GECCO (2), 2004)

Scopira: a pattern recognition application framework for biomedical datasets. - Rodrigo A. Vivanco; Aleksander B. Demko; Nick J. Pizzi (ICMLA, 2005)

Scopira: an open source C++ framework for biomedical data analysis applications – a research project report. - Aleksander B. Demko; Rodrigo A. Vivanco; Nicolino J. Pizzi (OOPSLA Companion, 2005)

Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages. - Rodrigo A. Vivanco; Nicolino J. Pizzi (Softw. Pract. Exp., 2005)

Transient blood pressure changes affect the functional magnetic resonance imaging detection of cerebral activation. - Rong Wang; Tadeusz Foniok; Jaclyn I. Wamsteeker; Min Qiao; Boguslaw Tomanek; Rodrigo A. Vivanco; Ursula I. Tuor (NeuroImage, 2006)

Improving predictive models of cognitive complexity using an evolutionary computational approach: a case study. - Rodrigo A. Vivanco; Dean Jin (CASCON, 2007)

Improving Predictive Models of Software Quality Using an Evolutionary Computational Approach. - Rodrigo A. Vivanco (ICSM, 2007)

Use of a Genetic Algorithm to Identify Source Code Metrics Which Improves Cognitive Complexity Predictive Models. - Rodrigo A. Vivanco (ICPC, 2007)

Selecting object-oriented source code metrics to improve predictive models using a parallel genetic algorithm. - Rodrigo A. Vivanco; Dean Jin (OOPSLA Companion, 2007)

Enhancing predictive models using principal component analysis and search based metric selection: a comparative study. - Rodrigo A. Vivanco; Dean Jin (ESEM, 2008)

Using search-based metric selection and oversampling to predict fault prone modules. - Rodrigo A. Vivanco; Yasutaka Kamei; Akito Monden; Ken-ichi Matsumoto; Dean Jin (CCECE, 2010)

Improving predictive models of software quality using search-based metric selection and decision trees. - Rodrigo A. Vivanco (2010)

Predicting Patients Likely to Overstay in Hospitals. - Rodrigo A. Vivanco; Dan Roberts (ICMLA (2), 2011)

Source code comprehension strategies and metrics to predict comprehension effort in software maintenance and evolution tasks - an empirical study with industry practitioners. - Kazuki Nishizono; Shuji Morisaki; Rodrigo A. Vivanco; Ken-ichi Matsumoto (ICSM, 2011)