Knowledge Source Discovery: An Experience Using Ontologies, WordNet and Artificial Neural Networks. - Mariano Rubiolo; María Laura Caliusco; Georgina Stegmayer; Matías Gareli; Mauricio Coronel (KES (2), 2009)

Compressing a neural network classifier using a Volterra-Neural Network model. - Mariano Rubiolo; Georgina Stegmayer; Diego H. Milone (IJCNN, 2010)

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)

Compressing arrays of classifiers using Volterra-neural network: application to face recognition. - Mariano Rubiolo; Georgina Stegmayer; Diego H. Milone (Neural Comput. Appl., 2013)

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)

Predicting Activities in Business Processes with LSTM Recurrent Neural Networks. - Edgar Tello-Leal; Jorge Roa; Mariano Rubiolo; Ulises Manuel Ramirez-Alcocer (Kaleidoscope, 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 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)

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)

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; et al. (Briefings Bioinform., 2022)