BUGNON, LEANDRO A.; FENOY, EMILIO; EDERA, ALEJANDRO A.; RAAD, JONATHAN; STEGMAYER, GEORGINA; MILONE, DIEGO H.

Transfer learning: The key to functionally annotate the protein universe

Patterns; Año: 2023 vol. 4

SABATTINI, JULIAN ALBERTO; STURNIOLO, FRANCISCO; BOLLAZZI, MARTÍN; BUGNON, LEANDRO A.

AntTracker: A low-cost and efficient computer vision approach to research leaf-cutter ants behavior

Smart Agricultural Technology; Año: 2023 vol. 5

LEANDRO BUGNON; ALEJANDRO EDERA; SANTIAGO PROCHETTO; MATIAS GERARD; JONATHAN RAAD ; EMILIO FENOY; MARIANO RUBIOLO; UCIEL CHOROSTECKI; TONI GABALDON; FEDERICO ARIEL; LEANDRO DI PERSIA; MILONE, DIEGO H.; GEORGINA STEGMAYER

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches

BRIEFINGS IN BIOINFORMATICS; Año: 2022

SABATTINI, J.A.; RETA, J.M.; BUGNON, L.A.; CERRUDO, J.I.; SABATTINI, R.A.; PEÑALVA, A.; BOLLAZZI, M.; PAZ, M.O.; STURNIOLO, F.

AntVideoRecord: Autonomous system to capture the locomotor activity of leafcutter ants

HardwareX; Año: 2022 vol. 11

RAAD, JONATHAN; BUGNON, LEANDRO A; MILONE, DIEGO H; STEGMAYER, GEORGINA

miRe2e: a full end-to-end deep model based on Transformers for prediction of pre-miRNAs

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2022 vol. 38

YONES, C.; RAAD, J.; BUGNON, L.A.; MILONE, D.H.; STEGMAYER, G.

High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks

COMPUTERS IN BIOLOGY AND MEDICINE; Año: 2021

BUGNON, L.A.; RAAD, J.; MERINO, G.A.; YONES, C.; ARIEL, F.; MILONE, D.H.; STEGMAYER, G.

Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19

Machine Learning with Applications; Año: 2021 vol. 6

BUGNON, L.A.; YONES, C.A.; MILONE, D.H.; STEGMAYER, G.

Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning

BRIEFINGS IN BIOINFORMATICS; Año: 2020

BUGNON, L; YONES, C; RAAD, J; GERARD, M; RUBIOLO, M; MERINO, G; PIVIDORI, M; DI PERSIA, L; MILONE, D H; STEGMAYER, G

DL4papers: a deep learning approach for the automatic interpretation of scientific articles

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020

VANRELL, SEBASTIÁN R.; CHELOTTI, JOSÉ O.; BUGNON, LEANDRO A.; RUFINER, H. LEONARDO; MILONE, DIEGO H.; LACA, EMILIO A.; GALLI, JULIO R.

Audio recordings dataset of grazing jaw movements in dairy cattle

Data in Brief; Año: 2020

MERINO, GABRIELA A; RAAD, JONATHAN; BUGNON, LEANDRO A; YONES, CRISTIAN; KAMENETZKY, LAURA; CLAUS, JUAN; ARIEL, FEDERICO; MILONE, DIEGO H; STEGMAYER, GEORGINA

Novel SARS-CoV-2 encoded small RNAs in the passage to humans

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020

BUGNON, L. A.; YONES, CRISTIAN; MILONE, DIEGO H.; STEGMAYER, G

Deep neural architectures for highly imbalanced data in bioinformatics

IEEE Transactions on Neural Networks and Learning Systems; Lugar: New York; Año: 2019

BUGNON, LEANDRO A.; YONES, CRISTIAN; JONATAN RAAD; MILONE, DIEGO H.; STEGMAYER, GEORGINA

Genome-wide hairpins datasets of animals and plants for novel miRNA prediction

Data in Brief; Lugar: Amsterdam; Año: 2019

MACCHIAROLI, N.; CUCHER, M.; KAMENETZKY, L.; YONES, C; BUGNON, L.; BERRIMAN, M.; OLSON, P.; ROSENZVIT, M.

Identification and expression profiling of microRNAs in Hymenolepis

INTERNATIONAL JOURNAL FOR PARASITOLOGY; Lugar: Amsterdam; Año: 2019

GEORGINA STEGMAYER; LEANDRO DI PERSIA; MARIANO RUBIOLO; MATÍAS GERARD; MILTON PIVIDORI; CRISTIAN YONES; LEANDRO BUGNON; TADEO RODRIGUEZ; JONATAN RAAD; DIEGO H. MILONE

Predicting novel microRNA: a comprehensive comparison of machine learning approaches

BRIEFINGS IN BIOINFORMATICS; Año: 2018

BUGNON, LEANDRO ARIEL; CALVO, RAFAEL A.; MILONE, DIEGO HUMBERTO

Dimensional Affect Recognition from HRV: an Approach Based on Supervised SOM and ELM

IEEE Transactions on Affective Computing; Lugar: Piscataway; Año: 2017 p. 1 - 1