Bugnon, L. A.'s publications with sinc(i)

  • 23 publications
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Publications in 2024
Evaluating large language models for annotating proteins   sinc_VBFMS24.doi sinc_VBFMS24.pdf
R. Vitale, L. A. Bugnon, E. Fenoy, D. H. Milone, G. Stegmayer
Briefings in Bioinformatics, Volume 25, Number 3 - 2024
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure   sinc_BDGRPFCASM24.doi sinc_BDGRPFCASM24.pdf
L. A. Bugnon, L. Di Persia, M. Gerard, J. Raad, S. Prochetto, E. Fenoy, U. Chorostecki, F. Ariel, G. Stegmayer, D. H. Milone
Briefings in Bioinformatics, Volume 25, Number 4 - 2024
 
Publications in 2023
AntTracker: A low-cost and efficient computer vision approach to research leaf-cutter ants behavior   sinc_SSBB23.doi sinc_SSBB23.pdf
J. A. Sabattini, F. Sturniolo, M. Bollazzi, L. A. Bugnon
Smart Agricultural Technology - 2023
Transfer learning: The key to functionally annotate the protein universe   sinc_BFERSM23.doi sinc_BFERSM23.pdf
L. A. Bugnon, E. Fenoy, A. Edera, J. Raad, G. Stegmayer, D. H. Milone
Patterns - 2023
 
Publications in 2022
AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants   sinc_SRBCSPBPS22.doi sinc_SRBCSPBPS22.pdf
J. A. Sabattini, J. M. Reta, L. A. Bugnon, J. Cerrudo, S. A. Sabattini, A. Peñalva, M. Bollazzi, M. O. Paz, F. Sturniolo
HardwareX - 2022
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches   sinc_BEPGRFRCGAMS22.doi sinc_BEPGRFRCGAMS22.pdf
L. A. Bugnon, A. Edera, S. Prochetto, M. Gerard, J. Raad, E. Fenoy, M. Rubiolo, U. Chorostecki, G. Gabaldon, F. Ariel, L. Di Persia, D. H. Milone, G. Stegmayer
Briefing in Bioinformatics - 2022
 
Publications in 2021
Deep Learning for the discovery of new pre-miRNAs: helping the fight against COVID-19   sinc_BRMYAMS21.doi sinc_BRMYAMS21.pdf
L. A. Bugnon, J. Raad, G. Merino, C. Yones, F. Ariel, D. H. Milone, G. Stegmayer
Machine Learning with Applications, Volume 6 - 2021
High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks   sinc_YRBMS21.doi sinc_YRBMS21.pdf
C. Yones, J. Raad, L. A. Bugnon, D. H. Milone, G. Stegmayer
Computers in Biology and Medicine, Volume 134 - 2021
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs   sinc_RBMS21.doi sinc_RBMS21.pdf
J. Raad, L. A. Bugnon, D. H. Milone, G. Stegmayer
Bioinformatics - 2021
 
Publications in 2020
Audio recordings dataset of grazing jaw movements in dairy cattle   sinc_VCBRMLC20.doi sinc_VCBRMLG20.pdf
S. R. Vanrell, J. O. Chelotti, L. A. Bugnon, H. L. Rufiner, D. H. Milone, E. Laca, J. Galli
Data in Brief, Volume 30 - 2020
DL4papers: a deep learning approach for the automatic interpretation of scientific articles   sinc_BYRGRMPDMS20.doi sinc_BYRGRMPDMS20.pdf
L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, G. Merino, M. Pividori, L. Di Persia, D. H. Milone, G. Stegmayer
Oxford Bioinformatics - 2020
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning   sinc_BYMS20.doi sinc_BYMS20.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
Oxford Briefings in Bioinformatics - 2020
Novel SARS-CoV-2 encoded small RNAs in the passage to humans   sinc_MRBYKCAMS20.doi sinc_MRBYKCAMS20.pdf
G. Merino, J. Raad, L. A. Bugnon, C. Yones, L. Kamenetzky, J. Claus, F. Ariel, D. H. Milone, G. Stegmayer
Bioinformatics - 11 2020
 
Publications in 2019
Deep learning for reading and interpreting biomedical papers   sinc_BYRGRMPDMS19.pdf
L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, G. Merino, M. Pividori, L. Di Persia, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
Deep neural architectures for highly imbalanced data in bioinformatics   sinc_BYMS19.doi sinc_BYMS19.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
IEEE Transactions on Neural Networks and Learning Systems - 2019
Deep neural architectures for highly imbalanced data in bioinformatics   sinc_BYMS19a.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
Argentine Symposium on Data Science and Big Data, AGRANDA 2019, 48º JAIIO - 2019
Genome-wide hairpins datasets of animals and plants for novel miRNA prediction   sinc_PWLG19.doi sinc_BYRMS19.pdf
L. A. Bugnon, C. Yones, J. Raad, D. H. Milone, G. Stegmayer
Data in Brief (in press) - 2019
MicroRNA prediction from genome-wide data with deep learning: a novel approach based on convolutional residual networks   sinc_YBRMS19.pdf
C. Yones, L. A. Bugnon, J. Raad, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
 
Publications in 2018
Identification and expression profiling of microRNAs in Hymenolepis.   sinc_MCKYBBOR18.pdf
N. Macchiaroli, M Cucher , L. Kamenetzky, C. Yones, L. A. Bugnon, M. Berriman, P. Olson, M. C. Rosenzvit
International Journal for Parasitology - 2018
Predicting novel microRNA: a comprehensive comparison of machine learning approaches   sinc_SDRGPYBRRM18.doi sinc_SDRGPYBRRM18.pdf
G. Stegmayer, L. Di Persia, M. Rubiolo, M. Gerard, M. Pividori, C. Yones, L. A. Bugnon, T. Rodriguez, J. Raad, D. H. Milone
Briefings in Bioinformatics - 2018
 
Publications in 2017
Dimensional affect recognition from HRV: an approach based on supervised SOM and ELM   sinc_BCM17.doi BCM17.pdf
L. A. Bugnon, R. A. Calvo, D. H. Milone
IEEE Transactions on Affective Computing - 2017
Snore Recognition Using a Reduced Set of Spectral Features   sinc_AMB17.doi sinc_ABM17.pdf
E. M. Albornoz, L. A. Bugnon, C. E. Martínez
2017 XVI Workshop on Information Processing and Control (RPIC) - 2017
 
Publications in 2014
A Method for Daily Normalization in Emotion Recognition   sinc_BCM14.pdf
L. A. Bugnon, R. A. Calvo, D. H. Milone
15th Argentine Symposium on Technology, AST 2014, 43º JAIIO, page 48--59 - 2014

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