Evolutionary algorithm for speech segmentation. - Diego H. Milone; Juan Julián Merelo; Hugo Leonardo Rufiner (IEEE Congress on Evolutionary Computation, 2002)

Sparse and independent representations of speech signals based on parametric models. - Hugo Leonardo Rufiner; Luís F. Rocha; John Goddard Close (INTERSPEECH, 2002)

Visualization of normal and pathological speech data. - John C. Goddard; F. M. Martínez; Gastón Schlotthauer; María Eugenia Torres; Hugo Leonardo Rufiner (MAVEBA, 2007)

Auditory Cortical Representations of Speech Signals for Phoneme Classification. - Hugo Leonardo Rufiner; César Ernesto Martínez; Diego H. Milone; John C. Goddard (MICAI, 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)

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)

Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. - Leandro Daniel Vignolo; Hugo Leonardo Rufiner; Diego H. Milone; John C. Goddard (BIOSIGNALS, 2009)

Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition. - Enrique M. Albornoz; Diego H. Milone; Hugo Leonardo Rufiner (COST 2102 Training School, 2009)

Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition. - Gastón Schlotthauer; María Eugenia Torres; Hugo Leonardo Rufiner (COST 2102 Training School, 2009)

A new algorithm for instantaneous F0 speech extraction based on Ensemble Empirical Mode Decomposition. - Gastón Schlotthauer; María Eugenia Torres; Hugo Leonardo Rufiner (EUSIPCO, 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)

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)

Evolutionary cepstral coefficients. - Leandro Daniel Vignolo; Hugo Leonardo Rufiner; Diego H. Milone; John C. Goddard (Appl. Soft Comput., 2011)

Spoken emotion recognition using hierarchical classifiers. - Enrique M. Albornoz; Diego H. Milone; Hugo Leonardo Rufiner (Comput. Speech Lang., 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)

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)

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 (SPECOM, 2013)

Genetic wavelet packets for speech recognition. - Leandro Daniel Vignolo; Diego H. Milone; Hugo Leonardo Rufiner (Expert Syst. Appl., 2013)

Spoken Emotion Recognition Using Deep Learning. - E. Marcelo Albornoz; Máximo Sánchez-Gutiérrez; Fabiola Martínez Licona; Hugo Leonardo Rufiner; John C. Goddard (CIARP, 2014)

Deep Learning for Emotional Speech Recognition. - Máximo Sánchez-Gutiérrez; E. Marcelo Albornoz; Fabiola Martínez Licona; Hugo Leonardo Rufiner; John C. Goddard (MCPR, 2014)

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)

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)

Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification. - Victoria Peterson; Hugo Leonardo Rufiner; Ruben D. Spies (CoRR, 2016)

Multi-objective optimisation of wavelet features for phoneme recognition. - Leandro Daniel Vignolo; Hugo Leonardo Rufiner; Diego H. Milone (IET Signal Process., 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)

Generalized sparse discriminant analysis for event-related potential classification. - Victoria Peterson; Hugo Leonardo Rufiner; Ruben D. Spies (Biomed. Signal Process. Control., 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)

Embedded system for real-time monitoring of foraging behavior of grazing cattle using acoustic signals. - Nestor Nahuel Deniz; José O. Chelotti; Julio R. Galli; Alejandra M. Planisich; Marcelo J. Larripa; Hugo Leonardo Rufiner; Leonardo L. Giovanini (Comput. Electron. Agric., 2017)

Coherent averaging estimation autoencoders applied to evoked potentials processing. - Iván E. Gareis; Leandro Daniel Vignolo; Ruben D. Spies; Hugo Leonardo Rufiner (Neurocomputing, 2017)

Feature extraction based on bio-inspired model for robust emotion recognition. - Enrique M. Albornoz; Diego H. Milone; Hugo Leonardo Rufiner (Soft Comput., 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)

Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders. - Marvin Coto-Jiménez; John Goddard Close; Leandro E. Di Persia; Hugo Leonardo Rufiner (IWOBI, 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)

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)

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)

Measuring Complexity of Biomedical Signals. - Gastón Schlotthauer; Anne Humeau-Heurtier; Javier Escudero; Hugo Leonardo Rufiner (Complex., 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)

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)

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)

Post-training discriminative pruning for RBMs. - Máximo Sánchez-Gutiérrez; Enrique M. Albornoz; Hugo Leonardo Rufiner; John Goddard Close (Soft Comput., 2019)

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)

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)

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)

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 (ICCSA (1), 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)

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)

Extreme Learning Machine Design for Dealing with Unrepresentative Features. - Nicolás Nieto; Francisco Javier Ibarrola; Victoria Peterson; Hugo Leonardo Rufiner; Ruben D. Spies (Neuroinformatics, 2022)

Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks. - Ivan Peralta; Nanci Odetti; Hugo Leonardo Rufiner (SPECOM (1), 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)

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 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., 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, 2023)

Assessing traditional and machine learning methods to smooth and impute device-based body condition score throughout the lactation in dairy cows. - José O. Chelotti; H. Atashi; Mariano Ferrero; Clément Grelet; Hélène Soyeurt; Leonardo L. Giovanini; Hugo Leonardo Rufiner; Nicolas Gengler (Comput. Electron. Agric., 2024)

A noise-robust acoustic method for recognizing 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 (Comput. Electron. Agric., 2025)

A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signals. - Mariano Ferrero; José Omar Chelotti; Luciano S. Martínez Rau; Leandro Daniel Vignolo; Martín Pires; Julio R. Galli; Leonardo Luis Giovanini; Hugo Leonardo Rufiner (CoRR, 2025)