Leandro Daniel Vignolo
Leandro Daniel Vignolo
sinc(i) - UNL/CONICET (Argentina)
Verified email at - Homepage
Cited by
Cited by
Feature selection for face recognition based on multi-objective evolutionary wrappers
LD Vignolo, DH Milone, J Scharcanski
Expert Systems with Applications 40 (13), 5077-5084, 2013
Empirical mode decomposition for adaptive am-fm analysis of speech: a review
R Sharma, L Vignolo, G Schlotthauer, MA Colominas, HL Rufiner, ...
Speech Communication 88, 39-64, 2017
Genetic wavelet packets for speech recognition
LD Vignolo, DH Milone, HL Rufiner
Expert Systems with Applications 40 (6), 2350-2359, 2013
Evolutionary splines for cepstral filterbank optimization in phoneme classification
LD Vignolo, HL Rufiner, DH Milone, JC Goddard
EURASIP Journal on Advances in Signal Processing 2011, 1-14, 2011
Evolutionary cepstral coefficients
LD Vignolo, HL Rufiner, DH Milone, JC Goddard
Applied Soft Computing 11 (4), 3419-3428, 2011
Feature optimisation for stress recognition in speech
LD Vignolo, SRM Prasanna, S Dandapat, HL Rufiner, DH Milone
Pattern Recognition Letters 84, 1-7, 2016
Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning
EM Albornoz, LD Vignolo, JA Sarquis, E Leon
Ecological Informatics 38, 39-49, 2017
An evolutionary wrapper for feature selection in face recognition applications
L Vignolo, D Milone, C Behaine, J Scharcanski
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012
Multi-objective optimisation of wavelet features for phoneme recognition
DM L Vignolo, H Rufiner
IET Signal Processing, 2016
Genetic wrapper approach for automatic diagnosis of speech disorders related to Autism
EM Albornoz, LD Vignolo, CE Martinez, DH Milone
2013 IEEE 14th International Symposium on Computational Intelligence and …, 2013
Genetic optimization of cepstrum filterbank for phoneme classification
LD Vignolo, HL Rufiner, DH Milone, JC Goddard
International Conference on Bio-inspired Systems and Signal Processing 1 …, 2009
Parallel implementation for wavelet dictionary optimization applied to pattern recognition
L Vignolo, D Milone, H Rufiner, E Albornoz
Proceedings of the 7th Argentine Symposium on Computing Technology, 2006
Hierarchical clustering and classification of emotions in human speech using confusion matrices
M Reyes-Vargas, M Sánchez-Gutiérrez, L Rufiner, M Albornoz, L Vignolo, ...
Speech and Computer: 15th International Conference, SPECOM 2013, Pilsen …, 2013
Evolutionary local improvement on genetic algorithms for feature selection
LD Vignolo, MF Gerard
Simposio Latinoamericano de Investigación de Operaciones e Inteligencia …, 2017
Coherent averaging estimation autoencoders applied to evoked potentials processing
IE Gareis, LD Vignolo, RD Spies, HL Rufiner
Neurocomputing 240, 47-58, 2017
A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle
M Ferrero, LD Vignolo, SR Vanrell, LS Martinez-Rau, JO Chelotti, JR Galli, ...
Engineering Applications of Artificial Intelligence 121, 106016, 2023
Fully adaptive time-varying wave-shape model: Applications in biomedical signal processing
J Ruiz, G Schlotthauer, L Vignolo, MA Colominas
Signal Processing 214, 109258, 2024
Livestock feeding behavior: A tutorial review on automated techniques for ruminant monitoring
J Chelotti, L Martinez-Rau, M Ferrero, L Vignolo, J Galli, A Planisich, ...
arXiv preprint arXiv:2312.09259, 2023
Daylong acoustic recordings of grazing and rumination activities in dairy cows
LS Martinez-Rau, JO Chelotti, M Ferrero, SA Utsumi, AM Planisich, ...
Scientific Data 10 (1), 782, 2023
Exploring feature extraction methods for infant mood classification
LD Vignolo, EM Albornoz, CE Martínez
AI Communications 32 (3), 191-206, 2019
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