Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods. - María Jimena Martínez; Ignacio Ponzoni; Mónica Fátima Díaz; Gustavo E. Vazquez; Axel J. Soto (J. Cheminformatics, 2015)

Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools. - Fiorella Cravero; María Jimena Martínez; Gustavo E. Vazquez; Mónica Fátima Díaz; Ignacio Ponzoni (PACBB, 2016)

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design. - Fiorella Cravero; María Jimena Martínez; Gustavo Esteban Vazquez; Mónica Fátima Díaz; Ignacio Ponzoni (J. Integr. Bioinform., 2016)

QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health. - Fiorella Cravero; María Jimena Martínez; Mónica Fátima Díaz; Ignacio Ponzoni (IWBBIO (2), 2017)

FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution. - Fiorella Cravero; Santiago Schustik; María Jimena Martínez; Mónica Fátima Díaz; Ignacio Ponzoni (IPMU (3), 2018)

Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property. - Fiorella Cravero; Santiago Schustik; María Jimena Martínez; Carlos D. Barranco; Mónica Fátima Díaz; Ignacio Ponzoni (PACBB, 2018)

A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning. - Santiago A. Schustik; Fiorella Cravero; Ignacio Ponzoni; Mónica Fátima Díaz (ICPR-Americas (2), 2020)

Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets. - Fiorella Cravero; Santiago Schustik; María Jimena Martínez; Gustavo E. Vazquez; Mónica Fátima Díaz; Ignacio Ponzoni (J. Chem. Inf. Model., 2020)