Mariano Rubiolo

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 6

Top Topics

Extreme Learning Machines

Gene Regulatory

Business Process

Top Venues

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Leandro A Bugnon, Alejandro A. Edera, S. Prochetto, Matias Gerard, Jonathan Raad, E. Fenoy, Mariano Rubiolo, Uciel Chorostecki, Toni Gabaldón, Federico Ariel, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 23 (4) (2022)
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
DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. 36 (11) (2020)
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
Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. 20 (5) (2019)
Edgar Tello-Leal, Jorge Roa, Mariano Rubiolo, Ulises M. Ramirez-Alcocer
Predicting Activities in Business Processes with LSTM Recurrent Neural Networks. Kaleidoscope (2018)
Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series. Bioinform. 34 (7) (2018)
Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (6) (2015)
Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
Compressing arrays of classifiers using Volterra-neural network: application to face recognition. Neural Comput. Appl. 23 (6) (2013)
Mariano Rubiolo, María Laura Caliusco, Georgina Stegmayer, Mauricio Coronel, M. Gareli Fabrizi
Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model. Inf. Sci. 194 (2012)
Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
Compressing a neural network classifier using a Volterra-Neural Network model. IJCNN (2010)
Mariano Rubiolo, María Laura Caliusco, Georgina Stegmayer, Matías Gareli, Mauricio Coronel
Knowledge Source Discovery: An Experience Using Ontologies, WordNet and Artificial Neural Networks. KES (2) (2009)