Leandro Daniel Vignolo

23 papers B 1C 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement. CoRR Leandro Daniel Vignolo, Matias Gerard
2026	J	`jnl`	Multivariate forecasting of energy demand using recurrent neural networks. Adv. Eng. Informatics Mariela N. Uhrig, Leandro Daniel Vignolo, Omar V. Müller
2025	J	`jnl`	A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signals. CoRR Mariano Ferrero, José Omar Chelotti, Luciano S. Martínez Rau, Leandro Daniel Vignolo, Martín Pires, Julio R. Galli, Leonardo Luis Giovanini, Hugo Leonardo Rufiner
2025	—	`conf`	Transfer Learning and Sensor Fusion for Cattle Monitoring: An IoT-Driven Approach for Sustainable Livestock Farming. WF-IoT Mariano Ferrero, Luciano Sebastian Martínez Rau, Leandro Daniel Vignolo, José Omar Chelotti, Julio R. Galli, Sebastian Bader, Leonardo Luis Giovanini, Hugo Leonardo Rufiner
2024	J	`jnl`	Fully adaptive time-varying wave-shape model: Applications in biomedical signal processing. Signal Process. Joaquin Ruiz, Gastón Schlotthauer, Leandro Daniel Vignolo, Marcelo Alejandro Colominas
2023	J	`jnl`	A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle. Eng. Appl. Artif. Intell. 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
2023	J	`jnl`	Livestock feeding behavior: A tutorial review on automated techniques for ruminant monitoring. CoRR José O. Chelotti, Luciano Martínez Rau, Mariano Ferrero, Leandro Daniel Vignolo, Julio R. Galli, Alejandra M. Planisich, Hugo Leonardo Rufiner, Leonardo L. Giovanini
2019	J	`jnl`	Exploring feature extraction methods for infant mood classification. AI Commun. Leandro Daniel Vignolo, Enrique M. Albornoz, César Ernesto Martínez
2018	—	`conf`	Feature Set Optimisation for Infant Cry Classification. IBERAMIA Leandro Daniel Vignolo, Enrique Marcelo Albornoz, César Ernesto Martínez
2018	—	`conf`	Furnariidae Species Classification Using Extreme Learning Machines and Spectral Information. IBERAMIA Enrique M. Albornoz, Leandro Daniel Vignolo, Juan Andrés Sarquis, César Ernesto Martínez
2017	J	`jnl`	Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning. Ecol. Informatics Enrique M. Albornoz, Leandro Daniel Vignolo, Juan Andrés Sarquis, Evelina Leon
2017	J	`jnl`	Coherent averaging estimation autoencoders applied to evoked potentials processing. Neurocomputing Iván E. Gareis, Leandro Daniel Vignolo, Ruben D. Spies, Hugo Leonardo Rufiner
2017	J	`jnl`	Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review. Speech Commun. Rajib Sharma, Leandro Daniel Vignolo, Gastón Schlotthauer, Marcelo Alejandro Colominas, Hugo Leonardo Rufiner, S. R. M. Prasanna
2017	C	`conf`	Evolutionary local improvement on genetic algorithms for feature selection. CLEI Leandro Daniel Vignolo, Matias Fernando Gerard
2016	J	`jnl`	Feature optimisation for stress recognition in speech. Pattern Recognit. Lett. Leandro Daniel Vignolo, S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner, Diego H. Milone
2016	J	`jnl`	Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone
2013	J	`jnl`	Feature selection for face recognition based on multi-objective evolutionary wrappers. Expert Syst. Appl. Leandro Daniel Vignolo, Diego H. Milone, Jacob Scharcanski
2013	J	`jnl`	Genetic wavelet packets for speech recognition. Expert Syst. Appl. Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner
2013	—	`conf`	Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices. SPECOM Manuel Reyes-Vargas, Máximo Sánchez-Gutiérrez, Hugo Leonardo Rufiner, E. Marcelo Albornoz, Leandro Daniel Vignolo, Fabiola Martínez Licona, John Goddard Close
2012	B	`conf`	An evolutionary wrapper for feature selection in face recognition applications. SMC Leandro Daniel Vignolo, Diego H. Milone, Carlos A. R. Behaine, Jacob Scharcanski
2011	J	`jnl`	Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification. EURASIP J. Adv. Signal Process. Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
2011	J	`jnl`	Evolutionary cepstral coefficients. Appl. Soft Comput. Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
2009	—	`conf`	Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. BIOSIGNALS Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard