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1

Temporal convolutional networks and transformers for classi..:

Casal, Ramiro ; Di Persia, Leandro E. ; Schlotthauer, Gastón
Journal of Computational Science. 59 (2022) - p. 101544 , 2022

Link: https://doi.org/10.1016/..

2

Classifying sleep–wake stages through recurrent neural netw..:

Casal, Ramiro ; Di Persia, Leandro E. ; Schlotthauer, Gastón
Biomedical Signal Processing and Control. 63 (2021) - p. 102195 , 2021

Link: https://doi.org/10.1016/..

3

A multi-class structured dictionary learning method using d..:

Rolon, Roman E. ; Di Persia, Leandro E. ; Spies, Ruben D..
Pattern Analysis and Applications. 24 (2020) 2 - p. 685-700 , 2020

Link: https://doi.org/10.1007/..

4

Sleep-wake stages classification using heart rate signals f..:

Casal, Ramiro ; Di Persia, Leandro E. ; Schlotthauer, Gastón
Heliyon. 5 (2019) 10 - p. e02529 , 2019

Link: https://doi.org/10.1016/..

5

A Bayesian approach to convolutive nonnegative matrix facto..:

Ibarrola, Francisco J. ; Di Persia, Leandro E. ; Spies, Ruben D.
Signal Processing. 151 (2018) - p. 89-98 , 2018

Link: https://doi.org/10.1016/..

6

Predicting novel microRNA: a comprehensive comparison of ma..:

Stegmayer, Georgina ; Di Persia, Leandro E ; Rubiolo, Mariano...
Briefings in Bioinformatics. 20 (2018) 5 - p. 1607-1620 , 2018

Link: https://doi.org/10.1093/..

7

Using multiple frequency bins for stabilization of FD-ICA a..:

Di Persia, Leandro E. ; Milone, Diego H.
Signal Processing. 119 (2016) - p. 162-168 , 2016

Link: https://doi.org/10.1016/..

8

Screening of obstructive sleep apnea with empirical mode de..:

Schlotthauer, Gastón ; Di Persia, Leandro E. ; Larrateguy, Luis D..
Medical Engineering & Physics. 36 (2014) 8 - p. 1074-1080 , 2014

Link: https://doi.org/10.1016/..

9

Denoising and recognition using hidden Markov models with o..:

Milone, Diego H. ; Di Persia, Leandro E. ; Torres, María E.
Pattern Recognition. 43 (2010) 4 - p. 1577-1589 , 2010

Link: https://doi.org/10.1016/..

10

Signal denoising with hidden Markov models using hidden Mar..:

, In: 2008 IEEE Workshop on Machine Learning for Signal Processing,

Milone, Diego H. ; Tomassi, Diego R. ; Di Persia, Leandro E. - p. None , 2008

Link: https://doi.org/10.1109/..

11

Temporal convolutional networks and transformers for classi..:

Casal, Ramiro ; Di Persia, Leandro E ; Schlotthauer, Gastón
http://arxiv.org/abs/2102.03352. , 2021

Link: http://arxiv.org/abs/210..

12

Classifying sleep-wake stages through recurrent neural netw..:

Casal, Ramiro ; Di Persia, Leandro E ; Schlotthauer, Gastón
http://arxiv.org/abs/2008.03382. , 2020

Link: http://arxiv.org/abs/200..

13

Sleep-wake stages classification using heart rate signals f..:

Casal, Ramiro ; Di Persia, Leandro E ; Schlotthauer, Gastón
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6812238/. , 2019

Link: http://www.ncbi.nlm.nih...

14

Mixed penalization in convolutive nonnegative matrix factor..:

Ibarrola, Francisco J ; Di Persia, Leandro E ; Spies, Ruben D
http://arxiv.org/abs/1706.00114. , 2017

Link: http://arxiv.org/abs/170..

15

Screening of Obstructive Sleep Apnea with Empirical Mode De..:

Schlotthauer, Gastón ; Di Persia, Leandro E ; Larrateguy, Luis D.
http://arxiv.org/abs/1405.7843. , 2014

Link: http://arxiv.org/abs/140..

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