Leandro E. Di Persia

According to our database, Leandro E. Di Persia authored at least 29 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data.

Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals.

Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer

J. Comput. Sci., 2022

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

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

Briefings Bioinform., 2022

Neural Model-Based Similarity Prediction for Compounds with Unknown Structures.

Eugenio Borzone, Leandro Ezequiel Di Persia, Matias Gerard

Proceedings of the Applied Informatics: 5th International Conference, 2022

2021

A multi-class structured dictionary learning method using discriminant atom selection.

Roman E. Rolón, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Pattern Anal. Appl., 2021

Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals.

Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer

Biomed. Signal Process. Control., 2021

Automatic sleep staging from pulse oximeter using RNN.

Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals.

Roman E. Rolón, Iván E. Gareis, L. D. Larrateguy, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Biomed. Signal Process. Control., 2020

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

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

Bioinform., 2020

2019

Switching Divergences for Spectral Learning in Blind Speech Dereverberation.

Francisco Javier Ibarrola, Ruben Daniel Spies, Leandro Ezequiel Di Persia

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Predicting novel microRNA: a comprehensive comparison of machine learning approaches.

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

Briefings Bioinform., 2019

2018

A Bayesian approach to convolutive nonnegative matrix factorization for blind speech dereverberation.

Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies

Signal Process., 2018

Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events.

Roman E. Rolón, Iván E. Gareis, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Complex., 2018

Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders.

Marvin Coto-Jiménez, John Goddard Close, Leandro E. Di Persia, Hugo Leonardo Rufiner

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2017

Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation.

Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies

CoRR, 2017

Discriminative methods based on sparse representations of pulse oximetry signals for sleep apnea-hypopnea detection.

Roman E. Rolón, L. D. Larrateguy, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Biomed. Signal Process. Control., 2017

Extreme learning machine prediction under high class imbalance in bioinformatics.

Tadeo Rodriguez, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer

Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

On the use of convolutive nonnegative matrix factorization with mixed penalization for blind speech dereverberation.

Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies

Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016

Using multiple frequency bins for stabilization of FD-ICA algorithms.

Leandro E. Di Persia, Diego H. Milone

Signal Process., 2016

2015

Denoising sound signals in a bioinspired non-negative spectro-temporal domain.

César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner

Digit. Signal Process., 2015

2014

Segmentation of pigmented skin lesions using Non-negative Matrix Factorization.

Pablo Gautério Cavalcanti, Jacob Scharcanski, César Ernesto Martínez, Leandro E. Di Persia

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014

2011

Correlated Postfiltering and Mutual Information in Pseudoanechoic Model Based Blind Source Separation.

Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida

J. Signal Process. Syst., 2011

An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images.

Pablo Gautério Cavalcanti, Jacob Scharcanski, Leandro E. Di Persia, Diego H. Milone

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees.

Diego H. Milone, Leandro E. Di Persia, María Eugenia Torres

Pattern Recognit., 2010

2009

Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources.

Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida

IEEE Trans. Speech Audio Process., 2009

2008

Perceptual evaluation of blind source separation for robust speech recognition.

Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner, Masuzo Yanagida

Signal Process., 2008

Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions.

Diego H. Milone, Leandro E. Di Persia

Inteligencia Artif., 2008

2007

Objective quality evaluation in blind source separation for speech recognition in a real room.

Leandro E. Di Persia, Masuzo Yanagida, Hugo Leonardo Rufiner, Diego H. Milone

Signal Process., 2007

An EM Algorithm to Learn Sequences in the Wavelet Domain.

Diego H. Milone, Leandro E. Di Persia

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007