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Leandro E. Di Persia
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- affiliation: Centro Científico Tecnológico (CONICET), Santa Fe, Argentina
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2020 – today
- 2024
- [j21]Leandro A Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone:
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. 25(4) (2024) - [i7]L. I. Zablocki, Leandro A Bugnon, M. Gerard, Leandro E. Di Persia, G. Stegmayer, Diego H. Milone:
Comprehensive benchmarking of large language models for RNA secondary structure prediction. CoRR abs/2410.16212 (2024) - 2023
- [j20]Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer:
exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 999-1008 (2023) - 2022
- [j19]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:
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 23(4) (2022) - [j18]Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals. J. Comput. Sci. 59: 101544 (2022) - [c8]Eugenio Borzone, Leandro Ezequiel Di Persia, Matias Gerard:
Neural Model-Based Similarity Prediction for Compounds with Unknown Structures. ICAI 2022: 75-87 - 2021
- [j17]Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals. Biomed. Signal Process. Control. 63: 102195 (2021) - [j16]Roman E. Rolón, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
A multi-class structured dictionary learning method using discriminant atom selection. Pattern Anal. Appl. 24(2): 685-700 (2021) - [c7]Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Automatic sleep staging from pulse oximeter using RNN. EUSIPCO 2021: 965-969 - [i6]Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals. CoRR abs/2102.03352 (2021) - 2020
- [j15]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:
DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. 36(11): 3499-3506 (2020) - [j14]Roman E. Rolón, Iván E. Gareis, L. D. Larrateguy, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals. Biomed. Signal Process. Control. 62: 102062 (2020) - [i5]Roman E. Rolón, Iván E. Gareis, L. D. Larrateguy, Leandro E. Di Persia, Ruben Daniel Spies, Hugo Leonardo Rufiner:
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals. CoRR abs/2003.09920 (2020) - [i4]Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer:
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals. CoRR abs/2008.03382 (2020)
2010 – 2019
- 2019
- [j13]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:
Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. 20(5): 1607-1620 (2019) - [j12]Francisco Javier Ibarrola, Ruben Daniel Spies, Leandro Ezequiel Di Persia:
Switching Divergences for Spectral Learning in Blind Speech Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 27(5): 881-891 (2019) - 2018
- [j11]Roman E. Rolón, Iván E. Gareis, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events. Complex. 2018: 1435203:1-1435203:18 (2018) - [j10]Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies:
A Bayesian approach to convolutive nonnegative matrix factorization for blind speech dereverberation. Signal Process. 151: 89-98 (2018) - [c6]Marvin Coto-Jiménez, John Goddard Close, Leandro E. Di Persia, Hugo Leonardo Rufiner:
Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders. IWOBI 2018: 1-8 - [i3]Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies:
Switching divergences for spectral learning in blind speech dereverberation. CoRR abs/1809.07375 (2018) - [i2]Roman E. Rolón, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
A multi-class structured dictionary learning method using discriminant atom selection. CoRR abs/1812.01389 (2018) - 2017
- [j9]Roman E. Rolón, L. D. Larrateguy, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner:
Discriminative methods based on sparse representations of pulse oximetry signals for sleep apnea-hypopnea detection. Biomed. Signal Process. Control. 33: 358-367 (2017) - [c5]Francisco Ibarrola, Leandro E. Di Persia, Ruben D. Spies:
On the use of convolutive nonnegative matrix factorization with mixed penalization for blind speech dereverberation. CLEI 2017: 1-4 - [c4]Tadeo Rodriguez, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer:
Extreme learning machine prediction under high class imbalance in bioinformatics. CLEI 2017: 1-8 - [i1]Francisco Javier Ibarrola, Leandro E. Di Persia, Ruben D. Spies:
Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation. CoRR abs/1706.00114 (2017) - 2016
- [j8]Leandro E. Di Persia, Diego H. Milone:
Using multiple frequency bins for stabilization of FD-ICA algorithms. Signal Process. 119: 162-168 (2016) - 2015
- [j7]César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner:
Denoising sound signals in a bioinspired non-negative spectro-temporal domain. Digit. Signal Process. 38: 22-31 (2015) - 2014
- [c3]Pablo Gautério Cavalcanti, Jacob Scharcanski, César Ernesto Martínez, Leandro E. Di Persia:
Segmentation of pigmented skin lesions using Non-negative Matrix Factorization. I2MTC 2014: 72-75 - 2011
- [j6]Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida:
Correlated Postfiltering and Mutual Information in Pseudoanechoic Model Based Blind Source Separation. J. Signal Process. Syst. 63(3): 333-344 (2011) - [c2]Pablo Gautério Cavalcanti, Jacob Scharcanski, Leandro E. Di Persia, Diego H. Milone:
An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images. EMBC 2011: 5993-5996 - 2010
- [j5]Diego H. Milone, Leandro E. Di Persia, María Eugenia Torres:
Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees. Pattern Recognit. 43(4): 1577-1589 (2010)
2000 – 2009
- 2009
- [j4]Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida:
Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources. IEEE Trans. Speech Audio Process. 17(2): 299-311 (2009) - 2008
- [j3]Diego H. Milone, Leandro E. Di Persia:
Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions. Inteligencia Artif. 12(37): 7-13 (2008) - [j2]Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner, Masuzo Yanagida:
Perceptual evaluation of blind source separation for robust speech recognition. Signal Process. 88(10): 2578-2583 (2008) - 2007
- [j1]Leandro E. Di Persia, Masuzo Yanagida, Hugo Leonardo Rufiner, Diego H. Milone:
Objective quality evaluation in blind source separation for speech recognition in a real room. Signal Process. 87(8): 1951-1965 (2007) - [c1]Diego H. Milone, Leandro E. Di Persia:
An EM Algorithm to Learn Sequences in the Wavelet Domain. MICAI 2007: 518-528
Coauthor Index
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last updated on 2024-11-28 20:25 CET by the dblp team
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