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)

GeRNet: a gene regulatory network tool. - Julieta Sol Dussaut; Cristian Andrés Gallo; Fiorella Cravero; María Jimena Martínez; Jessica Andrea Carballido; Ignacio Ponzoni (Biosyst., 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)

QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches. - Víctor Sebastián-Pérez; María Jimena Martínez; Carmen Gil; Nuria E. Campillo; Ana Martínez; Ignacio Ponzoni (PACBB, 2018)

Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling. - María Jimena Martínez; Julieta Sol Dussaut; Ignacio Ponzoni (Electron. Notes Discret. Math., 2018)

QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease. - Víctor Sebastián-Pérez; María Jimena Martínez; Carmen Gil; Nuria E. Campillo; Ana Martínez; Ignacio Ponzoni (J. Integr. Bioinform., 2019)

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)

Multitask Deep Neural Networks for Ames Mutagenicity Prediction. - María Jimena Martínez; María Virginia Sabando; Axel J. Soto; Carlos Roca; Carlos Requena-Triguero; Nuria E. Campillo; Juan A. Páez; Ignacio Ponzoni (J. Chem. Inf. Model., 2022)

Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter. - María Jimena Martínez; Silvia N. Schiaffino; Daniela Godoy; Ignacio Ponzoni; Axel J. Soto (CLEI, 2024)