Cravero Fiorella - ICIC

Foto de Fiorella Cravero

Cravero Fiorella

Investigadora Asistente - CONICET - UNS

Doctora en Ciencias de la Computación
Licenciada en Bioinformática

Informática de Polímeros: desarrollo de algoritmos de aprendizaje maquinal para el modelado de propiedades de interés.

fiorella.cravero@cs.uns.edu.ar

Publicaciones (29)

2026

Artículo From prediction to understanding: A review of XAI applications and innovations in materials science Cravero F., Ponzoni I., Díaz M.F., Vázquez G.E. Computational Materials Science DOI: 10.1016/j.commatsci.2026.114493

2024

Artículo Machine Learning-driven Immersive Scenarios Classification and Generation for Virtual Reality Leiva M., Cravero F., Selzer M.N. 2024 L Latin American Computer Conference (CLEI) DOI: 10.1109/clei64178.2024.10700098

2023

Artículo Can we gain insight about the ductile behavior of materials by using polymer informatics? Cravero F., Ponzoni I., Díaz M.F. Chemometrics and Intelligent Laboratory Systems DOI: 10.1016/j.chemolab.2023.105025

2022

Artículo Polymer informatics for QSPR prediction of tensile mechanical properties. Case study: Strength at break Cravero F., Díaz M.F., Ponzoni I. The Journal of Chemical Physics DOI: 10.1063/5.0087392
Artículo How can polydispersity information be integrated in the QSPR modeling of mechanical properties? Cravero F., Schustik S.A., Martínez M.J., Díaz M.F., Ponzoni I. Science and Technology of Advanced Materials Methods DOI: 10.1080/27660400.2021.2012540

2021

Artículo Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index Schustik S.A., Cravero F., Ponzoni I., Díaz M.F. Computational Materials Science DOI: 10.1016/j.commatsci.2021.110460
Artículo PolyMaS: A new software to generate high molecular weight polymer macromolecules from repeating structural units Schustik S.A., Cravero F., Martínez M.J., Ponzoni I., Díaz M.F. Polimery DOI: 10.14314/polimery.2021.5.2
Capítulo A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning Schustik S.A., Cravero F., Ponzoni I., Díaz M.F. Communications in computer and information science DOI: 10.1007/978-3-030-76310-7_22

2020

Artículo Modelado predictivo de sistemas complejos para informática molecular : desarrollo de métodos de selección y aprendizaje de características en presencia de incertidumbre Cravero F.

2019

Artículo QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease Ponzoni I., Sebastián-Pérez V., Martínez M.J., Roca C., Cruz C.D.L. et al. Scientific Reports DOI: 10.1038/s41598-019-45522-3
Artículo Computational modelling of mechanical properties for new polymeric materials with high molecular weight Cravero F., Martínez M.J., Ponzoni I., Díaz M.F. Chemometrics and Intelligent Laboratory Systems DOI: 10.1016/j.chemolab.2019.103851
Artículo Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RV<sub>DD</sub> Algorithm Using Synthetic Polydisperse Data Sets Cravero F., Schustik S.A., Martínez M.J., Vázquez G.E., Díaz M.F. et al. Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.9b00867
Artículo Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity Cravero F., Schustik S.A., Martínez M.J., Barranco C.D., Díaz M.F. et al. Chemometrics and Intelligent Laboratory Systems DOI: 10.1016/j.chemolab.2019.06.006

2018

Artículo A Software Tool for Discovery of Gene Regulatory Networks: Analysis of Alzheimer Disease Data Dussaut J.S., Gallo C., Cravero F., Martínez M.J., Carballido J.A. et al. Conicet
Capítulo Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property Cravero F., Schustik S.A., Martínez M.J., Barranco C.D., Díaz M.F. et al. Advances in intelligent systems and computing DOI: 10.1007/978-3-319-98702-6_6
Capítulo FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution Cravero F., Schustik S.A., Martínez M.J., Díaz M.F., Ponzoni I. Communications in computer and information science DOI: 10.1007/978-3-319-91479-4_18
Preprint 2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB) organized by the ISCB-SC RSG-Argentina Cravero F., Landaburu L.U., Moreyra N.N., Fenoy E., Franzotti C.L.P. et al. DOI: 10.7287/peerj.preprints.3504v2

2017

Artículo GeRNet: a gene regulatory network tool Dussaut J.S., Gallo C., Cravero F., Martínez M.J., Carballido J.A. et al. Biosystems DOI: 10.1016/j.biosystems.2017.08.006
Artículo Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery Ponzoni I., Sebastián-Pérez V., Requeña C., Roca C., Martínez M.J. et al. Scientific Reports DOI: 10.1038/s41598-017-02114-3
Preprint Second ISCB Latin American Student Council Symposium (LA-SCS) 2016 Monzón A.M., Hasenahuer M.A., Mancini E., Coimbra N.D.R., Cravero F. et al. F1000Research DOI: 10.12688/f1000research.12321.1
Capítulo QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health Cravero F., Martínez M.J., Díaz M.F., Ponzoni I. Lecture notes in computer science DOI: 10.1007/978-3-319-56154-7_38
Artículo Informe científico de Beca Doctoral 3º año: Cravero, Fiorella (2016-2017) Cravero F. Americanae (AECID Library)

2016

Artículo Spheroidal halloysites from Patagonia, Argentina: Some aspects of their formation and applications Cravero F., Fernández L., Marfil S.A., Sánchez M., Maiza P. et al. Applied Clay Science DOI: 10.1016/j.clay.2016.01.011
Artículo The origin of spheroidal halloysites: a review of the literature Cravero F., Churchman G.J. Clay Minerals DOI: 10.1180/claymin.2016.051.3.13
Artículo Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design Cravero F., Martínez M.J., Vázquez G.E., Díaz M.F., Ponzoni I. PubMed DOI: 10.2390/biecoll-jib-2016-286
Artículo Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design Cravero F., Jimena M.M., Gustavo V., Díaz M.F., Ponzoni I. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics DOI: 10.1515/jib-2016-286
Preprint Highlights of the 1st Argentine Symposium of Young Bioinformatics Researchers (1SAJIB) organized by the ISCB RSG-Argentina Parra R.G., Defelipe L.A., Guzovsky A.B., Monzón A.M., Cravero F. et al. DOI: 10.7287/peerj.preprints.2494v1
Capítulo Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools Cravero F., Martínez M.J., Vázquez G.E., Díaz M.F., Ponzoni I. Advances in intelligent systems and computing DOI: 10.1007/978-3-319-40126-3_1
Artículo MODELADO MOLECULAR DE MATERIALES POLIMÉRICOS EN QUIMIOINFORMATICA Cravero F., Vazquez G.E., Ponzoni I., Díaz M.F.