- Assistant Researcher, CONICET
- Adjunct Professor, Department of Information Systems Engineering – UTN-FRSF
- Teaching Assistant, Department of Informatics, FICH-UNL
Research Interests
- Bioinformatics
- Machine learning
- Neural networks
- Clustering
- Evolutionary computation
Teaching
Courses in Information Systems Engineering:
- Computational Intelligence
- Resources administration
Courses in Engineering Informatics:
- Programming technologies
Advisor
Coadvisor
Latest Publicactions
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches
- L. A. Bugnon
- A. Edera
- S. Prochetto
- M. Gerard
- J. Raad
- E. Fenoy
- M. Rubiolo
- U. Chorostecki
- G. Gabaldon
- F. Ariel
- L. Di Persia
- D. H. Milone
- G. Stegmayer
Briefing in Bioinformatics - 2022
DL4papers: a deep learning approach for the automatic interpretation of scientific articles
- L. A. Bugnon
- C. Yones
- J. Raad
- M. Gerard
- M. Rubiolo
- G. Merino
- M. Pividori
- L. Di Persia
- D. H. Milone
- G. Stegmayer
Oxford Bioinformatics - 2020
Deep learning for reading and interpreting biomedical papers
- L. A. Bugnon
- C. Yones
- J. Raad
- M. Gerard
- M. Rubiolo
- G. Merino
- M. Pividori
- L. Di Persia
- D. H. Milone
- G. Stegmayer
A2B2C 10th Meeting - 2019
Predicting novel microRNA: a comprehensive comparison of machine learning approaches
- G. Stegmayer
- L. Di Persia
- M. Rubiolo
- M. Gerard
- M. Pividori
- C. Yones
- L. A. Bugnon
- T. Rodriguez
- J. Raad
- D. H. Milone
Briefings in Bioinformatics - 2018
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series
- M. Rubiolo
- D. H. Milone
- G. Stegmayer
Bioinformatics - Apr 2018
More Publications
Personal Contact
- Phone: +54 (342) 4575233/34, ext. 118
- Office number: 8
- E-mail: mrubiolo@sinc.unl.edu.ar