María Virginia Sabando

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 7

Top Topics

Levenshtein Distance

Chemical Compounds

Visual Analytics

Multitask Learning

Top Venues

Briefings Bioinform.

J. Chem. Inf. Model.

Publications

María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto
Using molecular embeddings in QSAR modeling: does it make a difference? Briefings Bioinform. 23 (1) (2022)
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) (2022)
Juan Antonio Ramirez-Orta, María Virginia Sabando, Mariano Maisonnave, Evangelos E. Milios
MALNIS at IberLEF-2022 DETESTS Task: A Multi-Task Learning Approach for Low-Resource Detection of Racial Stereotypes in Spanish. IberLEF@SEPLN (2022)
María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference? CoRR (2021)
María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening. CoRR (2020)
María Virginia Sabando, Ignacio Ponzoni, Axel J. Soto
Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction. Appl. Soft Comput. 85 (2019)