Fiorella Cravero

发表

Influence of diffusive surface position and extension on the acoustics of a small performance space

Louena Shtrepi, Fiorella Cravero, Sonja Di Blasio, 2015 .

Computational modelling of mechanical properties for new polymeric materials with high molecular weight

Maria Vanina Martinez, Fiorella Cravero, Ignacio Ponzoni, 2019, Chemometrics and Intelligent Laboratory Systems.

QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health

Fiorella Cravero, Ignacio Ponzoni, María Jimena Martínez, 2017, IWBBIO.

Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity

Fiorella Cravero, Ignacio Ponzoni, Carlos D. Barranco, 2019, Chemometrics and Intelligent Laboratory Systems.

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2016, J. Integr. Bioinform..

GeRNet: a gene regulatory network tool

Fiorella Cravero, Jessica Andrea Carballido, Ignacio Ponzoni, 2017, Biosyst..

Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2019, J. Chem. Inf. Model..

Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property

Fiorella Cravero, Ignacio Ponzoni, Carlos D. Barranco, 2018, PACBB.

2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB) organized by the ISCB-SC RSG-Argentina

Fiorella Cravero, Esteban Lanzarotti, Emilio Fenoy, 2018 .

A Software Tool for Discovery of Gene Regulatory Networks: Analysis of Alzheimer Disease Data

Fiorella Cravero, Jessica Andrea Carballido, Ignacio Ponzoni, 2018 .

Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2016, PACBB.

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design.

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2016, Journal of integrative bioinformatics.

FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution

Fiorella Cravero, Ignacio Ponzoni, María Jimena Martínez, 2018, IPMU.

QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease

Maria Vanina Martinez, Fiorella Cravero, Ignacio Ponzoni, 2019, Scientific Reports.

Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery

Fiorella Cravero, Ignacio Ponzoni, Víctor Sebastián-Pérez, 2017, Scientific Reports.

A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning

Fiorella Cravero, Ignacio Ponzoni, Santiago A. Schustik, 2021 .

Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index

Fiorella Cravero, Ignacio Ponzoni, Santiago A. Schustik, 2021 .