Leandro A Bugnon

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Gene Function Prediction

Machine Learning

Top Venues

Briefings Bioinform.

IEEE Trans. Neural Networks Learn. Syst.

Comput. Biol. Medicine

Publications

Leandro A Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. 25 (4) (2024)
Leandro A Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone
Transfer learning: The key to functionally annotate the protein universe. Patterns 4 (2) (2023)
Jonathan Raad, Leandro A Bugnon, Diego H. Milone, Georgina Stegmayer
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs. Bioinform. 38 (5) (2022)
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, Diego H. Milone, Georgina Stegmayer
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning. Briefings Bioinform. 22 (3) (2021)
Gabriela Alejandra Merino, Jonathan Raad, Leandro A Bugnon, Cristian A. Yones, Laura Kamenetzky, Juan Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer
Novel SARS-CoV-2 encoded small RNAs in the passage to humans. Bioinform. 36 (24) (2021)
Cristian A. Yones, Jonathan Raad, Leandro A Bugnon, Diego H. Milone, Georgina Stegmayer
High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks. Comput. Biol. Medicine 134 (2021)
Leandro A Bugnon, Rafael A. Calvo, Diego H. Milone
Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM. IEEE Trans. Affect. Comput. 11 (1) (2020)
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)
Leandro A Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (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)