Mariano Rubiolo

According to our database, Mariano Rubiolo authored at least 10 papers between 2009 and 2022.

Collaborative distances:

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

2022

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches.

Leandro A Bugnon, Alejandro A. Edera, Santiago Prochetto, Matias Gerard, Jonathan Raad, Emilio Fenoy, Mariano Rubiolo, Uciel Chorostecki, Toni Gabaldón, Federico Ariel, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer

Briefings Bioinform., 2022

2020

DL4papers: a deep learning approach for the automatic interpretation of scientific articles.

Leandro A Bugnon, Cristian A. Yones, Jonathan Raad, Matias Gerard, Mariano Rubiolo, Gabriela Alejandra Merino, Milton Pividori, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer

Bioinform., 2020

2019

Predicting novel microRNA: a comprehensive comparison of machine learning approaches.

Georgina Stegmayer, Leandro E. Di Persia, Mariano Rubiolo, Matias Gerard, Milton Pividori, Cristian A. Yones, Leandro A Bugnon, Tadeo Rodriguez, Jonathan Raad, Diego H. Milone

Briefings Bioinform., 2019

2018

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.

Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer

Bioinform., 2018

Predicting Activities in Business Processes with LSTM Recurrent Neural Networks.

Edgar Tello-Leal, Jorge Roa, Mariano Rubiolo, Ulises Manuel Ramirez-Alcocer

Proceedings of the 2018 ITU Kaleidoscope: Machine Learning for a 5G Future, 2018

2015

Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series.

Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

2013

Compressing arrays of classifiers using Volterra-neural network: application to face recognition.

Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone

Neural Comput. Appl., 2013

2012

Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model.

Mariano Rubiolo, María Laura Caliusco, Georgina Stegmayer, Mauricio Coronel, M. Gareli Fabrizi

Inf. Sci., 2012

2010

Compressing a neural network classifier using a Volterra-Neural Network model.

Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Knowledge Source Discovery: An Experience Using Ontologies, WordNet and Artificial Neural Networks.

Mariano Rubiolo, María Laura Caliusco, Georgina Stegmayer, Matías Gareli, Mauricio Coronel

Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009