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ORCIDMaría Jimena Martínez
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2020 – today
- 2024
[c6]María Jimena Martínez, Silvia N. Schiaffino, Daniela Godoy, Ignacio Ponzoni, Axel J. Soto:
Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter. CLEI 2024: 1-4- 2022
- [j7]María Jimena Martínez
, María Virginia Sabando, Axel J. Soto, Carlos Roca, Carlos Requena-Triguero, Nuria E. Campillo, Juan A. Páez, Ignacio Ponzoni:
Multitask Deep Neural Networks for Ames Mutagenicity Prediction. J. Chem. Inf. Model. 62(24): 6342-6351 (2022) - 2020
- [j6]Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni:
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets. J. Chem. Inf. Model. 60(2): 592-603 (2020)
2010 – 2019
- 2019
- [j5]Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni:
QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease. J. Integr. Bioinform. 16(1) (2019) - 2018
- [j4]María Jimena Martínez, Julieta Sol Dussaut, Ignacio Ponzoni:
Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling. Electron. Notes Discret. Math. 69: 117-124 (2018) - [c5]Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni:
FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution. IPMU (3) 2018: 211-222 - [c4]Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Carlos D. Barranco, Mónica Fátima Díaz, Ignacio Ponzoni:
Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property. PACBB 2018: 43-51 - [c3]Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni:
QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches. PACBB 2018: 63-70 - 2017
- [j3]Julieta Sol Dussaut, Cristian Andrés Gallo, Fiorella Cravero, María Jimena Martínez, Jessica Andrea Carballido, Ignacio Ponzoni:
GeRNet: a gene regulatory network tool. Biosyst. 162: 1-11 (2017) - [c2]Fiorella Cravero, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni:
QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health. IWBBIO (2) 2017: 424-433 - 2016
- [j2]Fiorella Cravero, María Jimena Martínez, Gustavo Esteban Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni:
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design. J. Integr. Bioinform. 13(2) (2016) - [c1]Fiorella Cravero, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni:
Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools. PACBB 2016: 3-11 - 2015
- [j1]María Jimena Martínez, Ignacio Ponzoni, Mónica Fátima Díaz, Gustavo E. Vazquez, Axel J. Soto:
Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods. J. Cheminformatics 7: 39:1-39:17 (2015)
Coauthor Index
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