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Hugo Leonardo Rufiner
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2020 – today
- 2023
- [j34]Carlos Marcelo Pais
, Matias I. Godano
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
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) - [c14]Ivan Peralta
Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks. SPECOM (1) 2023: 3-17 - [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
- [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
Extreme Learning Machine Design for Dealing with Unrepresentative Features. Neuroinformatics 20(3): 641-650 (2022) - [c13]Camila Engler
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 - [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) - 2021
- [j30]Roman E. Rolón
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
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
An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle. Comput. Electron. Agric. 173: 105443 (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)
2010 – 2019
- 2019
- [j27]Rubén Acevedo, Yanina Atum, Iván E. Gareis, José Biurrun Manresa, Verónica Médina-Bañuelos
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
Post-training discriminative pruning for RBMs. Soft Comput. 23(3): 767-781 (2019) - [i3]Nicolás Nieto, Francisco Ibarrola
Extreme Learning Machine design for dealing with unrepresentative features. CoRR abs/1912.02154 (2019) - 2018
- [j25]José O. Chelotti, Sebastián R. Vanrell, Julio R. Galli
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
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
Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events. Complex. 2018: 1435203:1-1435203:18 (2018) - [j22]Gastón Schlotthauer
Measuring Complexity of Biomedical Signals. Complex. 2018: 5408254:1-5408254:3 (2018) - [j21]Rajib Sharma
Detection of the Glottal Closure Instants Using Empirical Mode Decomposition. Circuits Syst. Signal Process. 37(8): 3412-3440 (2018) - [j20]Sebastián R. Vanrell
Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals. IEEE J. Biomed. Health Informatics 22(4): 1001-1010 (2018) - [c12]Marvin Coto-Jiménez
Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders. IWOBI 2018: 1-8 - [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
- [j19]Roman E. Rolón, L. D. Larrateguy, Leandro E. Di Persia
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
Generalized sparse discriminant analysis for event-related potential classification. Biomed. Signal Process. Control. 35: 70-78 (2017) - [j17]Nestor N. Deniz
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
Coherent averaging estimation autoencoders applied to evoked potentials processing. Neurocomputing 240: 47-58 (2017) - [j15]Enrique M. Albornoz
Feature extraction based on bio-inspired model for robust emotion recognition. Soft Comput. 21(17): 5145-5158 (2017) - [j14]Rajib Sharma
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
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
Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. 10(6): 685-691 (2016) - [j11]Leandro Daniel Vignolo
Feature optimisation for stress recognition in speech. Pattern Recognit. Lett. 84: 1-7 (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) - 2015
- [j10]César Ernesto Martínez
Denoising sound signals in a bioinspired non-negative spectro-temporal domain. Digit. Signal Process. 38: 22-31 (2015) - 2014
- [c11]E. Marcelo Albornoz, Máximo Sánchez-Gutiérrez
Spoken Emotion Recognition Using Deep Learning. CIARP 2014: 104-111 - [c10]Máximo Sánchez-Gutiérrez
Deep Learning for Emotional Speech Recognition. MCPR 2014: 311-320 - 2013
- [j9]Leandro Daniel Vignolo
Genetic wavelet packets for speech recognition. Expert Syst. Appl. 40(6): 2350-2359 (2013) - [c9]Manuel Reyes-Vargas, Máximo Sánchez-Gutiérrez
Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices. SPECOM 2013: 162-169 - 2012
- [j8]César Ernesto Martínez, John C. Goddard, Diego H. Milone
Bioinspired sparse spectro-temporal representation of speech for robust classification. Comput. Speech Lang. 26(5): 336-348 (2012) - 2011
- [j7]Leandro Daniel Vignolo
Evolutionary cepstral coefficients. Appl. Soft Comput. 11(4): 3419-3428 (2011) - [j6]Enrique M. Albornoz
Spoken emotion recognition using hierarchical classifiers. Comput. Speech Lang. 25(3): 556-570 (2011) - [j5]Leandro Daniel Vignolo, Hugo Leonardo Rufiner
Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification. EURASIP J. Adv. Signal Process. 2011 (2011)
2000 – 2009
- 2009
- [j4]Gastón Schlotthauer
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
Dimensionality reduction for visualization of normal and pathological speech data. Biomed. Signal Process. Control. 4(3): 194-201 (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 - 2008
- [j2]Leandro E. Di Persia
Perceptual evaluation of blind source separation for robust speech recognition. Signal Process. 88(10): 2578-2583 (2008) - 2007
- [j1]Leandro E. Di Persia
Objective quality evaluation in blind source separation for speech recognition in a real room. Signal Process. 87(8): 1951-1965 (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
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
Coauthor Index
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