User profiles for Leandro Di Persia

Leandro Di Persia

Professor of Signal Processing, Universidad Nacional del Litoral
Verified email at sinc.unl.edu.ar
Cited by 592

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

…, T Gabaldón, F Ariel, LE Di Persia… - Briefings in …, 2022 - academic.oup.com
Motivation In contrast to messenger RNAs, the function of the wide range of existing long
noncoding RNAs (lncRNAs) largely depends on their structure, which determines interactions …

Predicting novel microRNA: a comprehensive comparison of machine learning approaches

G Stegmayer, LE Di Persia, M Rubiolo… - Briefings in …, 2019 - academic.oup.com
Motivation The importance of microRNAs (miRNAs) is widely recognized in the community
nowadays because these short segments of RNA can play several roles in almost all …

Perceptual evaluation of blind source separation for robust speech recognition

L Di Persia, D Milone, HL Rufiner, M Yanagida - Signal Processing, 2008 - Elsevier
In a previous article, an evaluation of several objective quality measures as predictors of
recognition rate after the application of a blind source separation algorithm was reported. In this …

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

R Casal, LE Di Persia, G Schlotthauer - Biomedical Signal Processing and …, 2021 - Elsevier
The regulation of the autonomic nervous system changes with the sleep stages causing
variations in the physiological variables. We exploit these changes with the aim of classifying the …

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

…, IE Gareis, LD Larrateguy, LE Di Persia… - … Signal Processing and …, 2020 - Elsevier
The obstructive sleep apnea-hypopnea (OSAH) syndrome is a common and frequently
undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or total (…

Screening of obstructive sleep apnea with empirical mode decomposition of pulse oximetry

G Schlotthauer, LE Di Persia, LD Larrateguy… - Medical engineering & …, 2014 - Elsevier
Detection of desaturations on the pulse oximetry signal is of great importance for the diagnosis
of sleep apneas. Using the counting of desaturations, an index can be built to help in the …

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

R Casal, LE Di Persia, G Schlotthauer - Journal of Computational Science, 2022 - Elsevier
Sleep disorders are very widespread in the world population and suffer from a generalized
underdiagnosis, given the complexity of their diagnostic methods. Therefore, there is an …

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

RE Rolón, LD Larrateguy, LE Di Persia… - … Signal Processing and …, 2017 - Elsevier
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 …

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

…, J Scharcanski, LE Di Persia… - … Conference of the …, 2011 - ieeexplore.ieee.org
Segmentation is an important step in computer-aided diagnostic systems for pigmented skin
lesions, since that a good definition of the lesion area and its boundary at the image is very …

Hybrid speech enhancement with wiener filters and deep lstm denoising autoencoders

…, J Goddard-Close, L Di Persia… - … Work Conference on …, 2018 - ieeexplore.ieee.org
Over the past several decades, numerous speech enhancement techniques have been
proposed to improve the performance of modern communication devices in noisy environments. …