2023 Transfer learning: The key to functionally annotate the protein universe L.A. Bugnon, E. Fenoy, A Edera, J. Raad, G. Stegmayer, and 1 more author Patterns, 2023 HTML PDF 2022 Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches L. A. Bugnon, A. Edera, S. Prochetto, M. Gerard, J. Raad, and 8 more authors Briefing in Bioinformatics, 2022 HTML PDF miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs J. Raad, L. A. Bugnon, D. H. Milone, and G. Stegmayer Bioinformatics, 2022 HTML PDF 2021 Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19 L. A. Bugnon, J. Raad, G.A. Merino, C. Yones, F. Ariel, and 2 more authors Machine Learning with Applications, 2021 HTML PDF High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks C. Yones, J. Raad, L. A. Bugnon, D. H. Milone, and G. Stegmayer Computers in Biology and Medicine, 2021 HTML PDF 2020 Novel SARS-CoV-2 encoded small RNAs in the passage to humans G. Merino, J. Raad, L. A. Bugnon, C. Yones, L. Kamenetzky, and 4 more authors Bioinformatics, 2020 HTML PDF Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning L. A. Bugnon, C. Yones, D. H. Milone, and G. Stegmayer Briefings in Bioinformatics, 2020 HTML PDF DL4papers: a deep learning model for reading papers L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, and 5 more authors Oxford Bioinformatics, 2020 HTML PDF 2019 Deep neural architectures for highly imbalanced data in bioinformatics L. A. Bugnon, Cristian A. Yones, D. H. Milone, and G. Stegmayer IEEE Transactions on Neural Networks and Learning Systems, 2019 HTML PDF Genome-wide hairpins datasets of animals and plants for novel miRNA prediction L. A. Bugnon, C. Yones, D. H. Milone, and G. Stegmayer Data in Brief, 2019 HTML PDF Predicting novel microRNA: a comprehensive comparison of machine learning approaches G. Stegmayer, L. Di Persia, Mariano Rubiolo, Matías Gerard, Milton Pividori, and 5 more authors Briefings in Bioinformatics, 2019 HTML PDF 2017 Dimensional Affect Recognition from HRV: an Approach Based on Supervised SOM and ELM L. A. Bugnon, R. A. Calvo, and D. H. Milone IEEE Transactions on Affective Computing, 2017 HTML PDF
