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2020 – today
- 2024
[j11]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)- 2023
- [j10]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): 100691 (2023) - 2022
- [j9]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, Georgina Stegmayer:
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 23(4) (2022) - [j8]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): 1191-1197 (2022) - 2021
- [j7]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) - [j6]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): 5571-5581 (2021) - [j5]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: 104448 (2021) - 2020
- [j4]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): 3499-3506 (2020) - [j3]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): 32-44 (2020) - [j2]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): 2857-2867 (2020)
2010 – 2019
- 2019
- [j1]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): 1607-1620 (2019)
Coauthor Index
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