57.2
María Florencia Rubiolo
Consejo Nacional de Investigaciones Científicas y Técnicas
María Florencia Rubiolo has made significant contributions to various fields of study. In the realm of long noncoding RNA secondary structure prediction, their review and experimental comparison of existing approaches provides a comprehensive framework for researchers. Additionally, their work in machine learning for the automatic interpretation of scientific articles enhances accessibility to complex research data. Their analysis on the South China Sea dispute highlights Southeast Asia's economic and strategic dilemmas, while their research on predicting novel microRNAs compares different machine learning approaches. Moreover, they have explored interregional relations between South America and Southeast Asia, as well as emerging economic actors in the region, shedding light on China's influence since 2007. Furthermore, their knowledge discovery approach based on ontology matching utilizing an artificial neural network model holds promise for optimizing information retrieval in complex domains.