INVESTIGADORES
VIGNOLO Leandro Daniel
artículos
MARIANO FERRERO; LEANDRO D. VIGNOLO; SEBASTIÁN R. VANRELL; LUCIANO MARTINEZ-RAU; JOSÉ O. CHELOTTI; JULIO R. GALLI; LEONARDO GIOVANINI; H. LEONARDO RUFINER
A Full End-to-End Deep Approach for Detecting and Classifying Jaw Movements from Acoustic Signals in Grazing Cattle
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE; Lugar: Amsterdam; Año: 2023 vol. 121
JOAQUIN VICTORIO RUIZ; GASTÓN SCHLOTTHAUER; LEANDRO DANIEL VIGNOLO; MARCELO A. COLOMINAS
Fully adaptive time-varying wave-shape model: Applications in biomedical signal processing
SIGNAL PROCESSING; Lugar: Amsterdam; Año: 2023 vol. 2014
LUCIANO S. MARTINEZ-RAU; JOSÉ O. CHELOTTI; MARIANO FERRERO; SANTIAGO A. UTSUMI; ALEJANDRA M. PLANISICH; LEANDRO DANIEL VIGNOLO; LEONARDO L. GIOVANINI; HUGO LEONARDO RUFINER; JULIO R. GALLI
Daylong acoustic recordings of grazing and rumination activities in dairy cows
Scientific Data; Año: 2023 vol. 10
VIGNOLO, LEANDRO D.; ALBORNOZ, ENRIQUE M.; MARTÍNEZ, CÉSAR E.
Exploring feature extraction methods for infant mood classification
AI COMMUNICATIONS; Año: 2019 vol. 32 p. 191 - 206
IVAN E. GAREIS; LEANDRO D. VIGNOLO; RUBÉN D. SPIES; HUGO L. RUFINER
Coherent Averaging Estimation Autoencoders applied to Evoked Potentials Processing
NEUROCOMPUTING; Lugar: Amsterdam; Año: 2017 vol. 240 p. 47 - 58
RAJIB SHARMA; LEANDRO DANIEL VIGNOLO; GASTÓN SCHLOTTHAUER ; MARCELO A. COLOMINAS; H. LEONARDO RUFINER ; S.R.M. PRASANNA
Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review
SPEECH COMMUNICATION; Lugar: Amsterdam; Año: 2017 vol. 88 p. 39 - 64
ENRIQUE MARCELO ALBORNOZ; LEANDRO DANIEL VIGNOLO; JUAN ANDRÉS SARQUIS; EVELINA LEON
Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning
ECOLOGICAL INFORMATICS; Lugar: Amsterdam; Año: 2017 vol. 38 p. 39 - 49
LEANDRO D. VIGNOLO; S. R. MAHADEVA PRASANNA; SAMARENDRA DANDAPAT; HUGO L. RUFINER; DIEGO H. MILONE
Feature optimisation for stress recognition in speech
PATTERN RECOGNITION LETTERS; Lugar: Amsterdam; Año: 2016 vol. 84 p. 1 - 7
LEANDRO D. VIGNOLO; HUGO L. RUFINER; DIEGO HUMBERTO MILONE
Multi-objective optimisation of wavelet features for phoneme recognition
IET SIGNAL PROCESSING; Año: 2016 vol. 10 p. 685 - 694
LEANDRO D. VIGNOLO; DIEGO H. MILONE; JACOB SCHARCANSKI
Feature Selection for Face Recognition Based on Multi-Objective Evolutionary Wrappers
EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2013 vol. 40 p. 5077 - 5084
LEANDRO D. VIGNOLO; DIEGO H. MILONE; HUGO L. RUFINER
Genetic wavelet packets for speech recognition
EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2013 vol. 40 p. 2350 - 2359
LEANDRO DANIEL VIGNOLO; HUGO LEONARDO RUFINER; DIEGO HUMBERTO MILONE; JOHN C. GODDARD
Evolutionary Cepstral Coefficients
APPLIED SOFT COMPUTING; Lugar: Factor de impacto: 2.415 (reportado en 2010 por Thomson Reuters (ISI)); Año: 2011 vol. 11 p. 3419 - 3428
LEANDRO DANIEL VIGNOLO; HUGO LEONARDO RUFINER; DIEGO HUMBERTO MILONE; JOHN C. GODDARD
Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING; Lugar: Factor de impacto: 0.885 (reportado en 2010 por Thomson Reuters (ISI), Citation Index Expanded); Año: 2011 vol. 2011 p. 1 - 14