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ORCIDLeandro Daniel Vignolo
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2020 – today
- 2024
[j12]Joaquin Ruiz
, Gastón Schlotthauer, Leandro Daniel Vignolo, Marcelo Alejandro Colominas:
Fully adaptive time-varying wave-shape model: Applications in biomedical signal processing. Signal Process. 214: 109258 (2024)- 2023
- [j11]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: 106016 (2023) - [i1]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 abs/2312.09259 (2023)
2010 – 2019
- 2019
- [j10]Leandro Daniel Vignolo, Enrique M. Albornoz, César Ernesto Martínez:
Exploring feature extraction methods for infant mood classification. AI Commun. 32(3): 191-206 (2019) - 2018
- [c6]Enrique M. Albornoz, Leandro Daniel Vignolo, Juan Andrés Sarquis, César Ernesto Martínez:
Furnariidae Species Classification Using Extreme Learning Machines and Spectral Information. IBERAMIA 2018: 170-180 - [c5]Leandro Daniel Vignolo, Enrique Marcelo Albornoz, César Ernesto Martínez:
Feature Set Optimisation for Infant Cry Classification. IBERAMIA 2018: 455-466 - 2017
- [j9]Enrique M. 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. Ecol. Informatics 38: 39-49 (2017) - [j8]Iván E. Gareis, Leandro Daniel Vignolo, Ruben D. Spies, Hugo Leonardo Rufiner:
Coherent averaging estimation autoencoders applied to evoked potentials processing. Neurocomputing 240: 47-58 (2017) - [j7]Rajib Sharma, Leandro Daniel Vignolo, Gastón Schlotthauer, Marcelo Alejandro Colominas, Hugo Leonardo Rufiner, S. R. M. Prasanna:
Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review. Speech Commun. 88: 39-64 (2017) - [c4]Leandro Daniel Vignolo, Matias Fernando Gerard:
Evolutionary local improvement on genetic algorithms for feature selection. CLEI 2017: 1-8 - 2016
- [j6]Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone:
Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. 10(6): 685-691 (2016) - [j5]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: 1-7 (2016) - 2013
- [j4]Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner:
Genetic wavelet packets for speech recognition. Expert Syst. Appl. 40(6): 2350-2359 (2013) - [j3]Leandro Daniel Vignolo, Diego H. Milone, Jacob Scharcanski:
Feature selection for face recognition based on multi-objective evolutionary wrappers. Expert Syst. Appl. 40(13): 5077-5084 (2013) - [c3]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: 162-169 - 2012
- [c2]Leandro Daniel Vignolo, Diego H. Milone, Carlos A. R. Behaine, Jacob Scharcanski:
An evolutionary wrapper for feature selection in face recognition applications. SMC 2012: 1286-1290 - 2011
- [j2]Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard:
Evolutionary cepstral coefficients. Appl. Soft Comput. 11(4): 3419-3428 (2011) - [j1]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)
2000 – 2009
- 2009
- [c1]Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard:
Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. BIOSIGNALS 2009: 179-185
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