Hugo Leonardo Rufiner

According to our database, Hugo Leonardo Rufiner authored at least 52 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

City-scale model for COVID-19 epidemiology with mobility and social activities represented by a set of hidden Markov models.

Carlos Marcelo Pais, Matias I. Godano, Emanuel Juarez, Abelardo del Prado, José A. Biurrun Manresa, Hugo Leonardo Rufiner

Comput. Biol. Medicine, June, 2023

A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle.

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

Eng. Appl. Artif. Intell., May, 2023

Livestock feeding behavior: A tutorial review on automated techniques for ruminant monitoring.

José O. Chelotti, Luciano Martínez Rau, Mariano Ferrero, Leandro Daniel Vignolo, Julio R. Galli, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini

CoRR, 2023

A noise-robust acoustic method for recognition of foraging activities of grazing cattle.

Luciano S. Martínez Rau, José O. Chelotti, Mariano Ferrero, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini

CoRR, 2023

Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks.

Ivan Peralta, Nanci Odetti, Hugo Leonardo Rufiner

Proceedings of the Speech and Computer - 25th International Conference, 2023

2022

Extreme Learning Machine Design for Dealing with Unrepresentative Features.

Nicolás Nieto, Francisco Javier Ibarrola, Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies

Neuroinformatics, 2022

Using segment-based features of jaw movements to recognize foraging activities in grazing cattle.

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

CoRR, 2022

A robust computational approach for jaw movement detection and classification in grazing cattle using acoustic signals.

Luciano Martínez Rau, José O. Chelotti, Sebastián R. Vanrell, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini

Comput. Electron. Agric., 2022

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.

Camila Engler, Carlos Marcelo Pais, Silvina Saavedra, Emanuel Juarez, Hugo Leonardo Rufiner

Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2021

A multi-class structured dictionary learning method using discriminant atom selection.

Roman E. Rolón, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Pattern Anal. Appl., 2021

2020

An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle.

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

Comput. Electron. Agric., 2020

Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals.

Roman E. Rolón, Iván E. Gareis, L. D. Larrateguy, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Biomed. Signal Process. Control., 2020

2019

Post-training discriminative pruning for RBMs.

Máximo Sánchez-Gutiérrez, Enrique M. Albornoz, Hugo Leonardo Rufiner, John Goddard Close

Soft Comput., 2019

A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI.

Rubén Acevedo, Yanina Atum, Iván E. Gareis, José Biurrun Manresa, Verónica Médina-Bañuelos, Hugo Leonardo Rufiner

Medical Biol. Eng. Comput., 2019

2018

Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals.

Sebastián R. Vanrell, Diego H. Milone, Hugo Leonardo Rufiner

IEEE J. Biomed. Health Informatics, 2018

Detection of the Glottal Closure Instants Using Empirical Mode Decomposition.

Rajib Sharma, S. R. M. Prasanna, Hugo Leonardo Rufiner, Gastón Schlotthauer

Circuits Syst. Signal Process., 2018

Measuring Complexity of Biomedical Signals.

Gastón Schlotthauer, Anne Humeau-Heurtier, Javier Escudero, Hugo Leonardo Rufiner

Complex., 2018

Complexity-Based Discrepancy Measures Applied to Detection of Apnea-Hypopnea Events.

Roman E. Rolón, Iván E. Gareis, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Complex., 2018

A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle.

Sebastián R. Vanrell, José O. Chelotti, Julio R. Galli, Santiago A. Utsumi, Leonardo L. Giovanini, Hugo Leonardo Rufiner, Diego H. Milone

Comput. Electron. Agric., 2018

A pattern recognition approach for detecting and classifying jaw movements in grazing cattle.

José O. Chelotti, Sebastián R. Vanrell, Julio R. Galli, Leonardo L. Giovanini, Hugo Leonardo Rufiner

Comput. Electron. Agric., 2018

Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders.

Marvin Coto-Jiménez, John Goddard Close, Leandro E. Di Persia, Hugo Leonardo Rufiner

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2017

Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review.

Rajib Sharma, Leandro Daniel Vignolo, Gastón Schlotthauer, Marcelo Alejandro Colominas, Hugo Leonardo Rufiner, S. R. M. Prasanna

Speech Commun., 2017

Feature extraction based on bio-inspired model for robust emotion recognition.

Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

Soft Comput., 2017

Coherent averaging estimation autoencoders applied to evoked potentials processing.

Iván E. Gareis, Leandro Daniel Vignolo, Ruben D. Spies, Hugo Leonardo Rufiner

Neurocomputing, 2017

Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals.

Nestor N. Deniz, José O. Chelotti, Julio R. Galli, Alejandra M. Planisich, Marcelo J. Larripa, Hugo Leonardo Rufiner, Leonardo L. Giovanini

Comput. Electron. Agric., 2017

Discriminative methods based on sparse representations of pulse oximetry signals for sleep apnea-hypopnea detection.

Roman E. Rolón, L. D. Larrateguy, Leandro E. Di Persia, Ruben D. Spies, Hugo Leonardo Rufiner

Biomed. Signal Process. Control., 2017

Generalized sparse discriminant analysis for event-related potential classification.

Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies

Biomed. Signal Process. Control., 2017

2016

Feature optimisation for stress recognition in speech.

Leandro Daniel Vignolo, S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner, Diego H. Milone

Pattern Recognit. Lett., 2016

Multi-objective optimisation of wavelet features for phoneme recognition.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone

IET Signal Process., 2016

Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification.

Victoria Peterson, Hugo Leonardo Rufiner, Ruben D. Spies

CoRR, 2016

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle.

José O. Chelotti, Sebastián R. Vanrell, Diego H. Milone, Santiago A. Utsumi, Julio R. Galli, Hugo Leonardo Rufiner, Leonardo L. Giovanini

Comput. Electron. Agric., 2016

2015

Denoising sound signals in a bioinspired non-negative spectro-temporal domain.

César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner

Digit. Signal Process., 2015

2014

Deep Learning for Emotional Speech Recognition.

Máximo Sánchez-Gutiérrez, E. Marcelo Albornoz, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard

Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Spoken Emotion Recognition Using Deep Learning.

E. Marcelo Albornoz, Máximo Sánchez-Gutiérrez, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013

Genetic wavelet packets for speech recognition.

Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner

Expert Syst. Appl., 2013

Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices.

Manuel Reyes-Vargas, Máximo Sánchez-Gutiérrez, Hugo Leonardo Rufiner, E. Marcelo Albornoz, Leandro Daniel Vignolo, Fabiola Martínez Licona, John Goddard Close

Proceedings of the Speech and Computer - 15th International Conference, 2013

2012

Bioinspired sparse spectro-temporal representation of speech for robust classification.

César Ernesto Martínez, John C. Goddard, Diego H. Milone, Hugo Leonardo Rufiner

Comput. Speech Lang., 2012

2011

Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard

EURASIP J. Adv. Signal Process., 2011

Spoken emotion recognition using hierarchical classifiers.

Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

Comput. Speech Lang., 2011

Evolutionary cepstral coefficients.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard

Appl. Soft Comput., 2011

2009

Dimensionality reduction for visualization of normal and pathological speech data.

John C. Goddard, Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner

Biomed. Signal Process. Control., 2009

Emd of Gaussian White Noise: Effects of Signal Length and Sifting Number on the Statistical Properties of Intrinsic Mode Functions.

Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner, Patrick Flandrin

Adv. Data Sci. Adapt. Anal., 2009

A new algorithm for instantaneous F0 speech extraction based on Ensemble Empirical Mode Decomposition.

Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner

Proceedings of the 17th European Signal Processing Conference, 2009

Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition.

Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner

Proceedings of the Development of Multimodal Interfaces: Active Listening and Synchrony, 2009

Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition.

Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

Proceedings of the Development of Multimodal Interfaces: Active Listening and Synchrony, 2009

Genetic Optimization of Cepstrum Filterbank for Phoneme Classification.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard

Proceedings of the BIOSIGNALS 2009, 2009

2008

Perceptual evaluation of blind source separation for robust speech recognition.

Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner, Masuzo Yanagida

Signal Process., 2008

2007

Objective quality evaluation in blind source separation for speech recognition in a real room.

Leandro E. Di Persia, Masuzo Yanagida, Hugo Leonardo Rufiner, Diego H. Milone

Signal Process., 2007

Auditory Cortical Representations of Speech Signals for Phoneme Classification.

Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Visualization of normal and pathological speech data.

John C. Goddard, F. M. Martínez, Gastón Schlotthauer, María Eugenia Torres, Hugo Leonardo Rufiner

Proceedings of the Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2007

2002

Sparse and independent representations of speech signals based on parametric models.

Hugo Leonardo Rufiner, Luís F. Rocha, John Goddard Close

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Evolutionary algorithm for speech segmentation.

Diego H. Milone, Juan Julián Merelo, Hugo Leonardo Rufiner

Proceedings of the 2002 Congress on Evolutionary Computation, 2002