L. D. Persia

发表

Penalized nonnegative representations for speech separation

R. Spies, F. Ibarrola, L. D. Persia, 2019 .

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

Diego H. Milone, César Ernesto Martínez, Hugo Leonardo Rufiner, 2015, Digit. Signal Process..

Predicting novel microRNA: a comprehensive comparison of machine learning approaches

Milton Pividori, Georgina Stegmayer, Diego H. Milone, 2019, Briefings Bioinform..

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

Jacob Scharcanski, Diego H. Milone, Leandro E. Di Persia, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

Ramiro Casal, Leandro E. Di Persia, Gast'on Schlotthauer, 2021, J. Comput. Sci..

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

Ramiro Casal, Leandro E. Di Persia, Gast'on Schlotthauer, 2020, Biomed. Signal Process. Control..

Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders

Hugo Leonardo Rufiner, John Goddard Close, Leandro E. Di Persia, 2018, 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).

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

Milton Pividori, Georgina Stegmayer, Diego H. Milone, 2020, Bioinform..

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

Hugo Leonardo Rufiner, Iván E. Gareis, Leandro E. Di Persia, 2018, Complex..

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

Hugo Leonardo Rufiner, Leandro E. Di Persia, Ruben D. Spies, 2017, Biomed. Signal Process. Control..

Most Discriminative Atom Selection for Apnea-hypopnea Events Detection

Hugo Leonardo Rufiner, Ruben D. Spies, R. E. Rolón, 2015 .

Diego H. Milone, Masuzo Yanagida, Leandro E. Di Persia, 2011, J. Signal Process. Syst..

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

Hugo Leonardo Rufiner, Leandro E. Di Persia, Ruben D. Spies, 2018, Pattern Anal. Appl..

Perceptual evaluation of blind source separation for robust speech recognition

Diego H. Milone, Masuzo Yanagida, Hugo Leonardo Rufiner, 2008, Signal Process..

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

Hugo Leonardo Rufiner, Iván E. Gareis, Leandro E. Di Persia, 2020, Biomed. Signal Process. Control..

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

Diego H. Milone, María Eugenia Torres, Leandro E. Di Persia, 2010, Pattern Recognit..

Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources

Diego H. Milone, Masuzo Yanagida, Leandro E. Di Persia, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions

Diego H. Milone, Leandro E. Di Persia, L. D. Persia, 2008, Inteligencia Artif..

An EM Algorithm to Learn Sequences in the Wavelet Domain

Diego H. Milone, Leandro E. Di Persia, L. D. Persia, 2007, MICAI.

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

Diego H. Milone, Masuzo Yanagida, Hugo Leonardo Rufiner, 2007, Signal Process..

Extreme learning machine prediction under high class imbalance in bioinformatics

Georgina Stegmayer, Diego H. Milone, Leandro E. Di Persia, 2017, 2017 XLIII Latin American Computer Conference (CLEI).