| Hybridizing feature selection and feature learning approaches in QSAR modeling for drug discovery I Ponzoni, V Sebastián-Pérez, C Requena-Triguero, C Roca, MJ Martínez, ... Scientific reports 7 (1), 2403, 2017 | 78 | 2017 |
| 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 | 62 | 2019 |
| Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index SA Schustik, F Cravero, I Ponzoni, MF Diaz Computational Materials Science 194, 110460, 2021 | 24 | 2021 |
| 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 | 24 | 2016 |
| Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity F Cravero, SA Schustik, MJ Martínez, CD Barranco, MF Díaz, I Ponzoni Chemometrics and Intelligent Laboratory Systems 191, 65-72, 2019 | 15 | 2019 |
| Computational modelling of mechanical properties for new polymeric materials with high molecular weight F Cravero, MJ Martínez, I Ponzoni, MF Diaz Chemometrics and Intelligent Laboratory Systems 193, 103851, 2019 | 14 | 2019 |
| GeRNet: a gene regulatory network tool JS Dussaut, CA Gallo, F Cravero, MJ Martínez, JA Carballido, I Ponzoni Biosystems 162, 1-11, 2017 | 13 | 2017 |
| 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 |
| Polymer informatics for QSPR prediction of tensile mechanical properties. Case study: Strength at break F Cravero, MF Díaz, I Ponzoni The Journal of Chemical Physics 156 (20), 2022 | 10 | 2022 |
| Second iscb latin american student council symposium (la-scs) 2016 AM Monzon, MA Hasenahuer, E Mancini, N Coimbra, F Cravero, ... F1000Research 6, 2017 | 7 | 2017 |
| How can polydispersity information be integrated in the QSPR modeling of mechanical properties? F Cravero, SA Schustik, MJ Martínez, MF Diaz, I Ponzoni Science and Technology of Advanced Materials: Methods 2 (1), 1-13, 2022 | 6 | 2022 |
| QSAR Classification models for predicting the activity of inhibitors of beta-secretase (BACE1) associated with Alzheimer’s disease. Sci Rep 9: 1–13 I Ponzoni, V Sebastián-Pérez, MJ Martínez, C Roca, C De la Cruz Pérez, ... | 6 | 2019 |
| Feature selection and polydispersity characterization for QSPR modelling: predicting a tensile property F Cravero, S Schustik, MJ Martínez, CD Barranco, MF Díaz, I Ponzoni Practical Applications of Computational Biology and Bioinformatics, 12th …, 2019 | 6 | 2019 |
| FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution F Cravero, S Schustik, MJ Martínez, MF Díaz, I Ponzoni Information Processing and Management of Uncertainty in Knowledge-Based …, 2018 | 6 | 2018 |
| Highlights of the 1st Argentine Symposium of Young Bioinformatics Researchers (1SAJIB) organized by the ISCB RSG-Argentina RG Parra, LA Defelipe, AB Guzovsky, A Monzón, F Cravero, E Mancini, ... PeerJ, 2016 | 6 | 2016 |
| 2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB) organized by the ISCB-SC RSG-Argentina F Cravero, LU Landaburu, NN Moreyra, E Fenoy, CLP Franzotti, ... PeerJ Preprints, 2018 | 5 | 2018 |
| Qsar classification models for predicting affinity to blood or liver of volatile organic compounds in e-health F Cravero, MJ Martínez, MF Díaz, I Ponzoni Bioinformatics and Biomedical Engineering: 5th International Work-Conference …, 2017 | 5 | 2017 |
| 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 |
| Modelado QSPR de propiedades mecánicas de materiales poliméricos empleando técnicas de reducción de variables basadas en algoritmos de aprendizaje automático (in Spanish). CAIQ F Cravero, GE Vazquez, MF Diaz, I Ponzoni Proceeding of the Conference of Chemical Engineering. Buenos Aires, Argentina, 2015 | 4 | 2015 |
| Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design using Machine Learning and Visual Analytics Tools F Cravero, MJ Martinez, GE Vazquez, MF Díaz, I Ponzoni 10th International Conference on Practical Applications of Computational …, 2016 | 3 | 2016 |
Ignacio PonzoniPrincipal Researcher at CONICET - Associated Professor at Universidad Nacional del SurVerified email at cs.uns.edu.ar
