miRNAfe: A comprehensive tool for feature extraction in microRNA prediction. - Cristian A. Yones; Georgina Stegmayer; Laura Kamenetzky; Diego H. Milone (Biosyst., 2015)

High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM. - Georgina Stegmayer; Cristian A. Yones; Laura Kamenetzky; Diego H. Milone (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Genome-wide pre-miRNA discovery from few labeled examples. - Cristian A. Yones; Georgina Stegmayer; Diego H. Milone (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)

Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics. - Leandro A Bugnon; Cristian A. Yones; Diego H. Milone; Georgina Stegmayer (IEEE Trans. Neural Networks Learn. Syst., 2020)

Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning. - Leandro A Bugnon; Cristian A. Yones; Diego H. Milone; Georgina Stegmayer (Briefings Bioinform., 2021)

Novel SARS-CoV-2 encoded small RNAs in the passage to humans. - Gabriela Alejandra Merino; Jonathan Raad; Leandro A Bugnon; Cristian A. Yones; Laura Kamenetzky; Juan Claus; Federico Ariel; Diego H. Milone; Georgina Stegmayer (Bioinform., 2021)

High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks. - Cristian A. Yones; Jonathan Raad; Leandro A Bugnon; Diego H. Milone; Georgina Stegmayer (Comput. Biol. Medicine, 2021)