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

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

An evolutionary wrapper for feature selection in face recognition applications. - Leandro Daniel Vignolo; Diego H. Milone; Carlos A. R. Behaine; Jacob Scharcanski (SMC, 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)

Feature selection for face recognition based on multi-objective evolutionary wrappers. - Leandro Daniel Vignolo; Diego H. Milone; Jacob Scharcanski (Expert Syst. Appl., 2013)

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)

Evolutionary local improvement on genetic algorithms for feature selection. - Leandro Daniel Vignolo; Matias Fernando Gerard (CLEI, 2017)

Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning. - Enrique M. Albornoz; Leandro Daniel Vignolo; Juan Andrés Sarquis; Evelina Leon (Ecol. Informatics, 2017)

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

Furnariidae Species Classification Using Extreme Learning Machines and Spectral Information. - Enrique M. Albornoz; Leandro Daniel Vignolo; Juan Andrés Sarquis; César Ernesto Martínez (IBERAMIA, 2018)

Feature Set Optimisation for Infant Cry Classification. - Leandro Daniel Vignolo; Enrique Marcelo Albornoz; César Ernesto Martínez (IBERAMIA, 2018)

Exploring feature extraction methods for infant mood classification. - Leandro Daniel Vignolo; Enrique M. Albornoz; César Ernesto Martínez (AI Commun., 2019)

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)

Fully adaptive time-varying wave-shape model: Applications in biomedical signal processing. - Joaquin Ruiz; Gastón Schlotthauer; Leandro Daniel Vignolo; Marcelo Alejandro Colominas (Signal Process., 2024)

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)