Posts by Collection

publications

Learning When to Classify for Early Text Classification

Published in Argentine Congress of Computer Science, 2017

This paper presents a simple framework for early text classification.

Recommended citation: Loyola, J. M., Errecalde, M. L., Escalante, H. J., & y Gomez, M. M. (2017, October). Learning When to Classify for Early Text Classification. In Argentine Congress of Computer Science (pp. 24-34). Springer, Cham. http://hdl.handle.net/10915/63498

Classification of RNA backbone conformation into rotamers using 13C′ chemical shifts How far we can go?

Published in PeerJ, 2019

In the present work, we use the ribose experimental and theoretical 13C′ chemical shifts data and machine learning methods to classify RNA backbone conformations into rotamers and families of rotamers.

Recommended citation: Icazatti, A. A., Loyola, J. M., Szleifer, I., Vila, J. A., & Martin, O. A. (2019). Classification of RNA backbone conformation into rotamers using 13C′ chemical shifts: exploring how far we can go. PeerJ 7:e7904 https://doi.org/10.7717/peerj.7904 https://peerj.com/articles/7904.pdf

talks

Deep Learning

Published:

I gave a talk titled “Deep Learning” as part of the I Jornadas de Informática in the Informatics Department of the National University of San Luis”. The slides are available here.

Introducción al Aprendizaje Profundo

Published:

I gave a lightning talk titled “Introducción al Aprendizaje Profundo” (in english, “Introduction to Deep Learning”) at the Taller Argentino de Computación Científica. The slides are available here.

teaching