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Hugo Leonardo Rufiner
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Journal Articles
- 2023
- [j34]Carlos Marcelo Pais
, Matias I. Godano
, Emanuel Juarez
, Abelardo del Prado
, José A. Biurrun Manresa
, Hugo Leonardo Rufiner
:
City-scale model for COVID-19 epidemiology with mobility and social activities represented by a set of hidden Markov models. Comput. Biol. Medicine 160: 106942 (2023) - [j33]Jose Maria Ferrero, Leandro Daniel Vignolo
, Sebastián R. Vanrell, Luciano S. Martínez Rau
, José O. Chelotti, Julio R. Galli, Leonardo L. Giovanini, Hugo Leonardo Rufiner
:
A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle. Eng. Appl. Artif. Intell. 121: 106016 (2023) - 2022
- [j32]Luciano Martínez Rau, José O. Chelotti, Sebastián R. Vanrell, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini:
A robust computational approach for jaw movement detection and classification in grazing cattle using acoustic signals. Comput. Electron. Agric. 192: 106569 (2022) - [j31]Nicolás Nieto
, Francisco Javier Ibarrola
, Victoria Peterson
, Hugo Leonardo Rufiner
, Ruben D. Spies
:
Extreme Learning Machine Design for Dealing with Unrepresentative Features. Neuroinformatics 20(3): 641-650 (2022) - 2021
- [j30]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) - 2020
- [j29]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) - [j28]José O. Chelotti, Sebastián R. Vanrell, Luciano Martínez Rau, Julio R. Galli
, Alejandra M. Planisich, Santiago A. Utsumi, Diego H. Milone, Leonardo L. Giovanini, Hugo Leonardo Rufiner:
An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle. Comput. Electron. Agric. 173: 105443 (2020) - 2019
- [j27]Rubén Acevedo, Yanina Atum, Iván E. Gareis, José Biurrun Manresa, Verónica Médina-Bañuelos
, Hugo Leonardo Rufiner
:
A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI. Medical Biol. Eng. Comput. 57(3): 589-600 (2019) - [j26]Máximo Sánchez-Gutiérrez
, Enrique M. Albornoz
, Hugo Leonardo Rufiner
, John Goddard Close:
Post-training discriminative pruning for RBMs. Soft Comput. 23(3): 767-781 (2019) - 2018
- [j25]José O. Chelotti, Sebastián R. Vanrell, Julio R. Galli
, Leonardo L. Giovanini, Hugo Leonardo Rufiner
:
A pattern recognition approach for detecting and classifying jaw movements in grazing cattle. Comput. Electron. Agric. 145: 83-91 (2018) - [j24]Sebastián R. Vanrell, José O. Chelotti, Julio R. Galli
, Santiago A. Utsumi, Leonardo L. Giovanini, Hugo Leonardo Rufiner
, Diego H. Milone
:
A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle. Comput. Electron. Agric. 151: 392-402 (2018) - [j23]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) - [j22]Gastón Schlotthauer
, Anne Humeau-Heurtier
, Javier Escudero
, Hugo Leonardo Rufiner
:
Measuring Complexity of Biomedical Signals. Complex. 2018: 5408254:1-5408254:3 (2018) - [j21]Rajib Sharma
, S. R. M. Prasanna, Hugo Leonardo Rufiner
, Gastón Schlotthauer
:
Detection of the Glottal Closure Instants Using Empirical Mode Decomposition. Circuits Syst. Signal Process. 37(8): 3412-3440 (2018) - [j20]Sebastián R. Vanrell
, Diego H. Milone
, Hugo Leonardo Rufiner
:
Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals. IEEE J. Biomed. Health Informatics 22(4): 1001-1010 (2018) - 2017
- [j19]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) - [j18]Victoria Peterson
, Hugo Leonardo Rufiner
, Ruben D. Spies
:
Generalized sparse discriminant analysis for event-related potential classification. Biomed. Signal Process. Control. 35: 70-78 (2017) - [j17]Nestor N. Deniz
, José O. Chelotti, Julio R. Galli
, Alejandra M. Planisich, Marcelo J. Larripa, Hugo Leonardo Rufiner
, Leonardo L. Giovanini:
Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals. Comput. Electron. Agric. 138: 167-174 (2017) - [j16]Iván E. Gareis, Leandro Daniel Vignolo, Ruben D. Spies
, Hugo Leonardo Rufiner
:
Coherent averaging estimation autoencoders applied to evoked potentials processing. Neurocomputing 240: 47-58 (2017) - [j15]Enrique M. Albornoz
, Diego H. Milone
, Hugo Leonardo Rufiner
:
Feature extraction based on bio-inspired model for robust emotion recognition. Soft Comput. 21(17): 5145-5158 (2017) - [j14]Rajib Sharma
, Leandro Daniel Vignolo, Gastón Schlotthauer
, Marcelo Alejandro Colominas, Hugo Leonardo Rufiner
, S. R. M. Prasanna:
Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review. Speech Commun. 88: 39-64 (2017) - 2016
- [j13]José O. Chelotti, Sebastián R. Vanrell, Diego H. Milone
, Santiago A. Utsumi, Julio R. Galli
, Hugo Leonardo Rufiner
, Leonardo L. Giovanini:
A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle. Comput. Electron. Agric. 127: 64-75 (2016) - [j12]Leandro Daniel Vignolo, Hugo Leonardo Rufiner
, Diego H. Milone
:
Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. 10(6): 685-691 (2016) - [j11]Leandro Daniel Vignolo
, S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner
, Diego H. Milone
:
Feature optimisation for stress recognition in speech. Pattern Recognit. Lett. 84: 1-7 (2016) - 2015
- [j10]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) - 2013
- [j9]Leandro Daniel Vignolo
, Diego H. Milone
, Hugo Leonardo Rufiner
:
Genetic wavelet packets for speech recognition. Expert Syst. Appl. 40(6): 2350-2359 (2013) - 2012
- [j8]César Ernesto Martínez, John C. Goddard, Diego H. Milone
, Hugo Leonardo Rufiner
:
Bioinspired sparse spectro-temporal representation of speech for robust classification. Comput. Speech Lang. 26(5): 336-348 (2012) - 2011
- [j7]Leandro Daniel Vignolo
, Hugo Leonardo Rufiner
, Diego H. Milone
, John C. Goddard:
Evolutionary cepstral coefficients. Appl. Soft Comput. 11(4): 3419-3428 (2011) - [j6]Enrique M. Albornoz
, Diego H. Milone
, Hugo Leonardo Rufiner
:
Spoken emotion recognition using hierarchical classifiers. Comput. Speech Lang. 25(3): 556-570 (2011) - [j5]Leandro Daniel Vignolo, Hugo Leonardo Rufiner
, Diego H. Milone
, John C. Goddard:
Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification. EURASIP J. Adv. Signal Process. 2011 (2011) - 2009
- [j4]Gastón Schlotthauer
, María Eugenia Torres
, Hugo Leonardo Rufiner
, Patrick Flandrin:
Emd of Gaussian White Noise: Effects of Signal Length and Sifting Number on the Statistical Properties of Intrinsic Mode Functions. Adv. Data Sci. Adapt. Anal. 1(4): 517-527 (2009) - [j3]John C. Goddard, Gastón Schlotthauer
, María Eugenia Torres
, Hugo Leonardo Rufiner
:
Dimensionality reduction for visualization of normal and pathological speech data. Biomed. Signal Process. Control. 4(3): 194-201 (2009) - 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)
Conference and Workshop Papers
- 2023
- [c14]Ivan Peralta
, Nanci Odetti
, Hugo Leonardo Rufiner
:
Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks. SPECOM (1) 2023: 3-17 - 2022
- [c13]Camila Engler
, Carlos Marcelo Pais
, Silvina Saavedra, Emanuel Juarez
, Hugo Leonardo Rufiner:
Prediction of the Impact of the End of year Festivities on the Local Epidemiology of COVID-19 Using Agent-Based Simulation with Hidden Markov Models. ICCSA (1) 2022: 61-75 - 2018
- [c12]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 - 2014
- [c11]E. Marcelo Albornoz, Máximo Sánchez-Gutiérrez
, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard:
Spoken Emotion Recognition Using Deep Learning. CIARP 2014: 104-111 - [c10]Máximo Sánchez-Gutiérrez
, E. Marcelo Albornoz
, Fabiola Martínez Licona
, Hugo Leonardo Rufiner
, John C. Goddard:
Deep Learning for Emotional Speech Recognition. MCPR 2014: 311-320 - 2013
- [c9]Manuel Reyes-Vargas, Máximo Sánchez-Gutiérrez
, Hugo Leonardo Rufiner
, E. Marcelo Albornoz
, Leandro Daniel Vignolo, Fabiola Martínez Licona
, John Goddard Close:
Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices. SPECOM 2013: 162-169 - 2009
- [c8]Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard:
Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. BIOSIGNALS 2009: 179-185 - [c7]Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner:
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition. COST 2102 Training School 2009: 242-254 - [c6]Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner:
Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition. COST 2102 Training School 2009: 364-381 - [c5]Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner:
A new algorithm for instantaneous F0 speech extraction based on Ensemble Empirical Mode Decomposition. EUSIPCO 2009: 2347-2351 - 2007
- [c4]John C. Goddard, F. M. Martínez, Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner:
Visualization of normal and pathological speech data. MAVEBA 2007: 33-36 - [c3]Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard:
Auditory Cortical Representations of Speech Signals for Phoneme Classification. MICAI 2007: 1004-1014 - 2002
- [c2]Diego H. Milone
, Juan Julián Merelo, Hugo Leonardo Rufiner
:
Evolutionary algorithm for speech segmentation. IEEE Congress on Evolutionary Computation 2002: 1115-1120 - [c1]Hugo Leonardo Rufiner, Luís F. Rocha, John Goddard Close:
Sparse and independent representations of speech signals based on parametric models. INTERSPEECH 2002: 989-992
Informal and Other Publications
- 2023
- [i7]Luciano S. Martínez Rau, José O. Chelotti, Mariano Ferrero, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini:
A noise-robust acoustic method for recognition of foraging activities of grazing cattle. CoRR abs/2304.14824 (2023) - [i6]José O. Chelotti, Luciano Martínez Rau, Mariano Ferrero, Leandro Daniel Vignolo, Julio R. Galli, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini:
Livestock feeding behavior: A tutorial review on automated techniques for ruminant monitoring. CoRR abs/2312.09259 (2023) - 2022
- [i5]José O. Chelotti, Sebastián R. Vanrell, Luciano S. Martínez Rau, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Suyai A. Almirón, Diego H. Milone, Leonardo L. Giovanini, Hugo Leonardo Rufiner:
Using segment-based features of jaw movements to recognize foraging activities in grazing cattle. CoRR abs/2204.00331 (2022) - 2020
- [i4]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) - 2019
- [i3]Nicolás Nieto, Francisco Javier Ibarrola
, Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies:
Extreme Learning Machine design for dealing with unrepresentative features. CoRR abs/1912.02154 (2019) - 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) - 2016
- [i1]Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies:
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification. CoRR abs/1608.06863 (2016)
Coauthor Index
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