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 | 99 | 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 | 87 | 2017 |
Genetic wavelet packets for speech recognition LD Vignolo, DH Milone, HL Rufiner Expert Systems with Applications 40 (6), 2350-2359, 2013 | 39 | 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 | 32 | 2011 |
Evolutionary cepstral coefficients LD Vignolo, HL Rufiner, DH Milone, JC Goddard Applied Soft Computing 11 (4), 3419-3428, 2011 | 27 | 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 | 23 | 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 | 20 | 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 | 12 | 2012 |
Multi-objective optimisation of wavelet features for phoneme recognition DM L Vignolo, H Rufiner IET Signal Processing, 2016 | 10 | 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 | 9 | 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 | 8 | 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 | 7 | 2006 |
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 | 6 | 2023 |
Evolutionary local improvement on genetic algorithms for feature selection LD Vignolo, MF Gerard Simposio Latinoamericano de Investigación de Operaciones e Inteligencia …, 2017 | 6 | 2017 |
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 | 6 | 2013 |
Coherent averaging estimation autoencoders applied to evoked potentials processing IE Gareis, LD Vignolo, RD Spies, HL Rufiner Neurocomputing 240, 47-58, 2017 | 5 | 2017 |
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 | 2 | 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 | 1 | 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 | 1 | 2023 |
Exploring feature extraction methods for infant mood classification LD Vignolo, EM Albornoz, CE Martínez AI Communications 32 (3), 191-206, 2019 | 1 | 2019 |