Hugo Leonardo Rufiner

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 34

Top Topics

Discriminant Analysis

Acoustic Signal

Emotion Recognition

Top Venues

Comput. Electron. Agric.

Biomed. Signal Process. Control.

Publications

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 (2023)
Ivan Peralta, Nanci Odetti, Hugo Leonardo Rufiner
Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks. SPECOM (1) (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2022)
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) (2022)
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 (2022)
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)
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) (2021)
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 (2020)
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 (2020)
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 (2020)
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) (2019)
Nicolás Nieto, Francisco Javier Ibarrola, Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies
Extreme Learning Machine design for dealing with unrepresentative features. CoRR (2019)
Máximo Sánchez-Gutiérrez, Enrique M. Albornoz, Hugo Leonardo Rufiner, John Goddard Close
Post-training discriminative pruning for RBMs. Soft Comput. 23 (3) (2019)
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 (2018)
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 (2018)
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) (2018)
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 (2018)
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) (2018)
Gastón Schlotthauer, Anne Humeau-Heurtier, Javier Escudero, Hugo Leonardo Rufiner
Measuring Complexity of Biomedical Signals. Complex. 2018 (2018)
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)
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 (2018)
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 (2017)
Iván E. Gareis, Leandro Daniel Vignolo, Ruben D. Spies, Hugo Leonardo Rufiner
Coherent averaging estimation autoencoders applied to evoked potentials processing. Neurocomputing 240 (2017)
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 (2017)
Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies
Generalized sparse discriminant analysis for event-related potential classification. Biomed. Signal Process. Control. 35 (2017)
Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
Feature extraction based on bio-inspired model for robust emotion recognition. Soft Comput. 21 (17) (2017)
Rajib Sharma, Leandro Daniel Vignolo, Gastón Schlotthauer, Marcelo A. Colominas, Hugo Leonardo Rufiner, S. R. M. Prasanna
Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review. Speech Commun. 88 (2017)
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 (2016)
Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification. CoRR (2016)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone
Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. 10 (6) (2016)
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 (2016)
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 (2015)
E. Marcelo Albornoz, Máximo Sánchez-Gutiérrez, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard
Spoken Emotion Recognition Using Deep Learning. CIARP (2014)
Máximo Sánchez-Gutiérrez, E. Marcelo Albornoz, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard
Deep Learning for Emotional Speech Recognition. MCPR (2014)
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)
Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner
Genetic wavelet packets for speech recognition. Expert Syst. Appl. 40 (6) (2013)
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) (2012)
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)
Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
Spoken emotion recognition using hierarchical classifiers. Comput. Speech Lang. 25 (3) (2011)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
Evolutionary cepstral coefficients. Appl. Soft Comput. 11 (4) (2011)
Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition. COST 2102 Training School (2009)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. BIOSIGNALS (2009)
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) (2009)
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) (2009)
Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner
A new algorithm for instantaneous F0 speech extraction based on Ensemble Empirical Mode Decomposition. EUSIPCO (2009)
Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner
Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition. COST 2102 Training School (2009)
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) (2008)
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) (2007)
John C. Goddard, F. M. Martínez, Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner
Visualization of normal and pathological speech data. MAVEBA (2007)
Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard
Auditory Cortical Representations of Speech Signals for Phoneme Classification. MICAI (2007)
Hugo Leonardo Rufiner, Luís F. Rocha, John Goddard Close
Sparse and independent representations of speech signals based on parametric models. INTERSPEECH (2002)
Diego H. Milone, Juan Julián Merelo, Hugo Leonardo Rufiner
Evolutionary algorithm for speech segmentation. IEEE Congress on Evolutionary Computation (2002)