Výsledky vyhledávání - "L.E. Di Persia"

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

Autor: R.E. Rolon, Hugo Leonardo Rufiner, Ruben D. Spies, I.E. Gareis, L.E. Di Persia

Publikováno v: Complexity, Vol 2018 (2018)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET

In recent years, an increasing interest in the development of discriminative methods based on sparse representations with discrete dictionaries for signal classification has been observed. It is still unclear, however, what is the most appropriate wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46abf9b21e3a3567af02e8f09f871036
https://doi.org/10.1155/2018/1435203

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

Autor: L.E. Di Persia, Gabriela Alejandra Merino, Milton Pividori, Matias Fernando Gerard, Mariano Rubiolo, Cristian Ariel Yones, Jonathan Raad, Leandro A. Bugnon, Georgina Stegmayer, Diego H. Milone

Publikováno v: Bioinformatics (Oxford, England). 36(11)

Motivation: In precision medicine, next-generation sequencing and novel preclinical reports have led to an increasingly large amount of results, published in the scientific literature. However, identifying novel treatments or predicting a drug respon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12ee8999710f0f7dedace5b002e9418d
https://pubmed.ncbi.nlm.nih.gov/32091584

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

Autor: John Goddard, César E. Martínez, L.E. Di Persia, Hugo Leonardo Rufiner, Diego H. Milone

Publikováno v: Digital Signal Processing. 38:22-31

The representation of sound signals at the cochlea and auditory cortical level has been studied as an alternative to classical analysis methods. In this work, we put forward a recently proposed feature extraction method called approximate auditory co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0127dc9c9b434c36c1ca054d1f8cc0fb
https://doi.org/10.1016/j.dsp.2014.12.008

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Extreme learning machine prediction under high class imbalance in bioinformatics

Autor: Diego H. Milone, Georgina Stegmayer, L.E. Di Persia, T. Rodriguez

Publikováno v: CLEI

Class imbalance in machine learning is when there are significantly fewer training instances of one class in comparison to another one. In bioinformatics, there is such a problem in the computational prediction of novel microRNA (miRNAs) within a ful

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd8f50c1b9ab302a90420e8065bca8c9
https://doi.org/10.1109/clei.2017.8226385

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

Autor: Ruben D. Spies, R.E. Rolon, Luis Darío Larrateguy, Hugo Leonardo Rufiner, L.E. Di Persia

The obstructive sleep apnea?hypopnea (OSAH) syndrome is a very common and generally undiagnosed sleep disorder. It is caused by repeated events of partial or total obstruction of the upper airway while sleeping. This work introduces two novel approac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e31d3361835158bb7f1c3015d991d3c
http://www.sciencedirect.com/science/article/pii/S1746809416302257

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Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources

Autor: Masuzo Yanagida, L.E. Di Persia, Diego H. Milone

Publikováno v: IEEE Transactions on Audio, Speech, and Language Processing. 17:299-311

Blind separation of convolutive mixtures is a very complicated task that has applications in many fields of speech and audio processing, such as hearing aids and man?machine interfaces. One of the proposed solutions is the frequency-domain independen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52e6adc964f7f3f647b766a97b2ec96a
https://doi.org/10.1109/tasl.2008.2009568

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Most Discriminative Atom Selection for Apnea-hypopnea Events Detection

Autor: Hugo Leonardo Rufiner, Ruben D. Spies, L.E. Di Persia, R.E. Rolon

Publikováno v: IFMBE Proceedings ISBN: 9783319131160

The sleep apnea-hypopnea syndrome is characterized by repetitive episodes of upper airway obstruction that occur while sleeping, usually associated with a reduction in blood oxygen saturation (SaO2). This work presents a novel most discriminative ato

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::091cf59ccc36de7c4691d8f9572053b6
https://doi.org/10.1007/978-3-319-13117-7_146

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Signal denoising with hidden Markov models using hidden Markov trees as observation densities

Autor: Diego H. Milone, Diego Tomassi, L.E. Di Persia

Publikováno v: 2008 IEEE Workshop on Machine Learning for Signal Processing.

Wavelet-domain hidden Markov models have been found successful in exploiting statistical dependencies between wavelet coefficients for signal denoising. However, these models typically deal with fixed-length sequences and are not suitable neither for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b7cfd9ab220e0c9057f8c8fcd1b8f4a
https://doi.org/10.1109/mlsp.2008.4685509

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