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Fiorella Cravero
Observed names:
CRAVERO, FIORELLA,
Cravero Fiorella,
Cravero, Fiorella,
Cravero, Fiorella,
F. Cravero
Institutions:
Consejo Nacional de Investigaciones Científicas y Técnicas,
Centro Científico Tecnológico - Bahía Blanca,
Universidad Católica del Uruguay
Observed institutions:
Consejo Nacional de Investigaciones Científicas y Técnicas,
Planta Piloto de Ingeniería Química,
Comisión de Investigaciones Científicas,
Centro Científico Tecnológico - Bahía Blanca,
Universidad Nacional del Sur,
Universidad Católica del Uruguay
show all 6
ORCID:
0000-0002-9816-4147
Observed ORCID:
0000-0002-9816-4147
OpenAlex ID:
A5069354391
Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery
2017
·
Ignacio Ponzoni
, Víctor Sebastián-Pérez
, et al.
·
Scientific Reports
·
77
PDF
QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease
2019
·
Ignacio Ponzoni
, Víctor Sebastián-Pérez
, et al.
·
Scientific Reports
·
75
PDF
Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index
2021
·
Santiago A. Schustik
, Fiorella Cravero
, et al.
·
Computational Materials Science
·
30
Computational modelling of mechanical properties for new polymeric materials with high molecular weight
2019
·
Fiorella Cravero
, M. Jimena Martínez
, et al.
·
Chemometrics and Intelligent Laboratory Systems
·
16
Polymer informatics for QSPR prediction of tensile mechanical properties. Case study: Strength at break
2022
·
Fiorella Cravero
, Mónica F. Díaz
, et al.
·
The Journal of Chemical Physics
·
15
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets
2019
·
Fiorella Cravero
, Santiago A. Schustik
, et al.
·
Journal of Chemical Information and Modeling
·
14
Computer-aided design of polymeric materials: Computational study for characterization of databases for prediction of mechanical properties under polydispersity
2019
·
Fiorella Cravero
, Santiago A. Schustik
, et al.
·
Chemometrics and Intelligent Laboratory Systems
·
13
PDF
GeRNet: a gene regulatory network tool
2017
·
J.S. Dussaut
, C.A. Gallo
, et al.
·
Biosystems
·
12
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design
2016
·
Cravero, Fiorella
, Martinez, Maria Jimena
, et al.
·
PubMed
·
10
From prediction to understanding: A review of XAI applications and innovations in materials science
2026
·
Fiorella Cravero
, Ignacio Ponzoni
, et al.
·
Computational Materials Science
·
9
Second ISCB Latin American Student Council Symposium (LA-SCS) 2016
2017
·
Alexander Miguel Monzon
, Marcia A. Hasenahuer
, et al.
·
F1000Research
·
7
PDF
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design
2016
·
Cravero Fiorella
, Martínez M. Jimena
, et al.
·
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics
·
7
How can polydispersity information be integrated in the QSPR modeling of mechanical properties?
2022
·
F. Cravero
, S. A. Schustik
, et al.
·
Science and Technology of Advanced Materials Methods
·
5
PDF
Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property
2018
·
Fiorella Cravero
, Santiago Schustik
, et al.
·
Advances in intelligent systems and computing
·
4
FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution
2018
·
Fiorella Cravero
, Santiago Schustik
, et al.
·
Communications in computer and information science
·
4
Highlights of the 1st Argentine Symposium of Young Bioinformatics Researchers (1SAJIB) organized by the ISCB RSG-Argentina
2016
·
R. Gonzalo Parra
, Lucas A Defelipe
, et al.
·
4
QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health
2017
·
Fiorella Cravero
, María Jimena Martínez
, et al.
·
Lecture notes in computer science
·
3
Highlights of the 1st Argentine Symposium of Young Bioinformatics Researchers (1SAJIB) organized by the ISCB RSG-Argentina
2016
·
R. Gonzalo Parra
, Lucas A Defelipe
, et al.
·
3
PolyMaS: A new software to generate high molecular weight polymer macromolecules from repeating structural units
2021
·
Santiago Ariel Schustik
, Fiorella Cravero
, et al.
·
Polimery
·
2
PDF
A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning
2021
·
Santiago A. Schustik
, Fiorella Cravero
, et al.
·
Communications in computer and information science
·
1
2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB) organized by the ISCB-SC RSG-Argentina
2018
·
Fiorella Cravero
, Lionel Uran Landaburu
, et al.
·
1
2nd Argentine Symposium of Young Bioinformatics Researchers (2SAJIB) organized by the ISCB-SC RSG-Argentina
2018
·
Fiorella Cravero
, Lionel Uran Landaburu
, et al.
·
1
Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools
2016
·
F. Cravero
, M. J. Martinez
, et al.
·
Advances in intelligent systems and computing
·
1
El caolín de Misud (Argentina). Geología, mineralogía y aplicaciones
1994
·
Fiorella Cravero
, Isabel González-Díez
, et al.
·
Boletín de la Sociedad Española de Mineralogía
·
1
Decoding Guardrails: XAI-Guided Perturbation Analysis of Prompt Injection Detection
2026
·
Outeda, Fernando
, Betarte, Gustavo
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
41
Citation count:
315
H-index:
9
I10-index:
9
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