| Prediction of elongation at break for linear polymers D Palomba, GE Vazquez, MF Díaz Chemometrics and Intelligent Laboratory Systems 139, 121-131, 2014 | 67 | 2014 |
| Multi‐objective feature selection in QSAR using a machine learning approach AJ Soto, RL Cecchini, GE Vazquez, I Ponzoni QSAR & Combinatorial Science 28 (11‐12), 1509-1523, 2009 | 61 | 2009 |
| QSAR classification models for predicting the activity of inhibitors of beta-secretase (BACE1) associated with Alzheimer’s disease I Ponzoni, V Sebastián-Pérez, MJ Martínez, C Roca, C De la Cruz Pérez, ... Scientific reports 9 (1), 9102, 2019 | 54* | 2019 |
| Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods MJ Martínez, I Ponzoni, MF Díaz, GE Vazquez, AJ Soto Journal of cheminformatics 7, 1-17, 2015 | 39 | 2015 |
| Evaluation of different approaches for missing data imputation on features associated to genomic data BO Petrazzini, H Naya, F Lopez-Bello, G Vazquez, L Spangenberg BioData mining 14, 1-13, 2021 | 37 | 2021 |
| Target‐Driven Subspace Mapping Methods and Their Applicability Domain Estimation AJ Soto, GE Vazquez, M Strickert, I Ponzoni Molecular Informatics 30 (9), 779-789, 2011 | 24 | 2011 |
| Feature learning applied to the estimation of tensile strength at break in polymeric material design C Fiorella, MM Jimena, V Gustavo, MF Díaz, P Ignacio Journal of integrative bioinformatics 13 (2), 15-29, 2016 | 23 | 2016 |
| Novel descriptors from main and side chains of high-molecular-weight polymers applied to prediction of glass transition temperatures D Palomba, GE Vazquez, MF Díaz Journal of Molecular Graphics and Modelling 38, 137-147, 2012 | 20 | 2012 |
| A wrapper-based feature selection method for ADMET prediction using evolutionary computing AJ Soto, RL Cecchini, GE Vazquez, I Ponzoni Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2008 | 20 | 2008 |
| Reduced set of virulence genes allows high accuracy prediction of bacterial pathogenicity in humans G Iraola, G Vazquez, L Spangenberg, H Naya Public Library of Science 7 (8), e42144, 2012 | 19 | 2012 |
| ModGen: a model generator for instrumentation analysis GE Vazquez, I Ponzoni, MC Sánchez, NB Brignole Advances in Engineering Software 32 (1), 37-48, 2001 | 19 | 2001 |
| QSPR Models for Predicting Log Pliver Values for Volatile Organic Compounds Combining Statistical Methods and Domain Knowledge D Palomba, MJ Martínez, I Ponzoni, MF Díaz, GE Vazquez, AJ Soto Molecules 17 (12), 14937-14953, 2012 | 17 | 2012 |
| Adaptive matrix distances aiming at optimum regression subspaces. M Strickert, AJ Soto, GE Vazquez, M Verleysen ESANN, 2010 | 15 | 2010 |
| Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets F Cravero, SA Schustik, MJ Martínez, GE Vázquez, MF Díaz, I Ponzoni Journal of chemical information and modeling 60 (2), 592-603, 2019 | 12 | 2019 |
| The software architecture of a decision support system for process plant instrumentation GE Vazquez, SJ Ferraro, JA Carballido, I Ponzoni, MC Sanchez, ... World Scientific and Engineering Academy and Society, 2003 | 8 | 2003 |
| DELPHOS: computational tool for selection of relevant descriptor subsets in ADMET prediction AJ Soto, MJ Martínez, RL Cecchini, GE Vazquez, I Ponzoni 1st International Meeting of Pharmaceutical Sciences, 2010 | 7 | 2010 |
| Análisis Numérico De Diferentes Criterios De Similitud En Algoritmos De Clustering. AJ Soto, I Ponzoni, GE Vazquez Mecánica Computacional, 993-1012, 2006 | 7 | 2006 |
| Segregating confident predictions of chemicals’ properties for virtual screening of drugs AJ Soto, I Ponzoni, GE Vazquez Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009 | 6 | 2009 |
| Prediction of tensile strength at break for linear polymers applied to new materials development D Palomba, F Cravero, GE Vazquez, MF Diaz Proceeding of the International Congress of Metallurgy and Materials-Sam …, 2014 | 5 | 2014 |
| An evolutionary approach for feature selection applied to ADMET prediction AJ Soto, RL Cecchini, GE Vazquez, I Ponzoni Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2008 | 5 | 2008 |
Ignacio PonzoniPrincipal Researcher at CONICET - Associated Professor at Universidad Nacional del SurDirección de correo verificada de cs.uns.edu.ar
