Leandro A. Bugnon

17 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
ET-Pfam: ensemble transfer learning for protein family prediction.
Bioinform.
Sofia A. Duarte, Rosario Vitale, Sofia Escudero, Emilio Fenoy, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2025 J jnl
Comprehensive benchmarking of large language models for RNA secondary structure prediction.
Briefings Bioinform.
Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024 J jnl
Comprehensive benchmarking of large language models for RNA secondary structure prediction.
CoRR
Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024 J jnl
Evaluating large language models for annotating proteins.
Briefings Bioinform.
Rosario Vitale, Leandro A. Bugnon, Emilio Fenoy, Diego H. Milone, Georgina Stegmayer
2024 J jnl
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure.
Briefings Bioinform.
Leandro A. Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone
2023 — conf
Affective Computing as a Tool for Understanding Emotion Dynamics from Physiology: A Predictive Modeling Study of Arousal and Valence.
ACIIW
Tomás A. D'Amelio, Nicolás M. Bruno, Leandro A. Bugnon, Federico Zamberlan, Enzo Tagliazucchi
2023 J jnl
Transfer learning: The key to functionally annotate the protein universe.
Patterns
Leandro A. Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone
2022 J jnl
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches.
Briefings Bioinform.
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
2022 J jnl
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs.
Bioinform.
Jonathan Raad, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2021 J jnl
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning.
Briefings Bioinform.
Leandro A. Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
2021 J jnl
High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks.
Comput. Biol. Medicine
Cristian A. Yones, Jonathan Raad, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2021 J jnl
Novel SARS-CoV-2 encoded small RNAs in the passage to humans.
Bioinform.
Gabriela Alejandra Merino, Jonathan Raad, Leandro A. Bugnon, Cristian A. Yones, Laura Kamenetzky, Juan Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer
2020 J jnl
DL4papers: a deep learning approach for the automatic interpretation of scientific articles.
Bioinform.
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
2020 J jnl
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics.
IEEE Trans. Neural Networks Learn. Syst.
Leandro A. Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
2020 J jnl
Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM.
IEEE Trans. Affect. Comput.
Leandro A. Bugnon, Rafael A. Calvo, Diego H. Milone
2019 J jnl
Predicting novel microRNA: a comprehensive comparison of machine learning approaches.
Briefings Bioinform.
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
2018 — —
Reconocimiento de estados afectivos a partir de señales biomédicas
Leandro A. Bugnon