María Jimena Martínez

According to our database, María Jimena Martínez authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter.

María Jimena Martínez, Silvia N. Schiaffino, Daniela Godoy, Ignacio Ponzoni, Axel J. Soto

Proceedings of the L Latin American Computer Conference, 2024

2022

Multitask Deep Neural Networks for Ames Mutagenicity Prediction.

María Jimena Martínez, María Virginia Sabando, Axel J. Soto, Carlos Roca, Carlos Requena-Triguero, Nuria E. Campillo, Juan A. Páez, Ignacio Ponzoni

J. Chem. Inf. Model., 2022

2020

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

Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni

J. Chem. Inf. Model., 2020

2019

QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease.

Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni

J. Integr. Bioinform., 2019

2018

Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling.

María Jimena Martínez, Julieta Sol Dussaut, Ignacio Ponzoni

Electron. Notes Discret. Math., 2018

QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches.

Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni

Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

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

Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Carlos D. Barranco, Mónica Fátima Díaz, Ignacio Ponzoni

Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

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

Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

GeRNet: a gene regulatory network tool.

Julieta Sol Dussaut, Cristian Andrés Gallo, Fiorella Cravero, María Jimena Martínez, Jessica Andrea Carballido, Ignacio Ponzoni

Biosyst., 2017

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

Fiorella Cravero, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016

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

Fiorella Cravero, María Jimena Martínez, Gustavo Esteban Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni

J. Integr. Bioinform., 2016

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

Fiorella Cravero, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni

Proceedings of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2016

2015

Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods.

María Jimena Martínez, Ignacio Ponzoni, Mónica Fátima Díaz, Gustavo E. Vazquez, Axel J. Soto

J. Cheminformatics, 2015