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ORCIDEnrique Marcelo Albornoz
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- affiliation: Ciudad Universitaria, Santa Fe, Argentina
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2020 – today
- 2023
[c11]Diego Alberto Godoy
, Cesar Gallardo, Ricardo Selva, Nicolas Ibarra, Carlos Kornuta, Enrique Marcelo Albornoz:
Detection of Personal Protection Elements in a Recycling Plant Using Convolutional Neural Networks. ICSC-Cities 2023: 203-215- 2022
- [c10]Diego Alberto Godoy, Enrique Marcelo Albornoz, Ricardo Selva, Nicolas Ibarra, Cesar Gallardo:
Classification of Polyethylene Terephthalate Bottles in a Recycling Plant. ICSC-Cities 2022: 173-184 - 2021
- [c9]Gerónimo Eberle, Jimena Bourlot, César Ernesto Martínez, Enrique M. Albornoz:
Automatic Extraction of Heat Maps and Goal Instances of a Basketball Game Using Video Processing. CACIC 2021: 95-105
2010 – 2019
- 2019
- [j6]Leandro Daniel Vignolo, Enrique M. Albornoz, César Ernesto Martínez:
Exploring feature extraction methods for infant mood classification. AI Commun. 32(3): 191-206 (2019) - [j5]Máximo Sánchez-Gutiérrez, Enrique M. Albornoz, Hugo Leonardo Rufiner, John Goddard Close:
Post-training discriminative pruning for RBMs. Soft Comput. 23(3): 767-781 (2019) - [c8]Erick Alfaro, Ximena Bolaños Fonseca, Enrique M. Albornoz, César Ernesto Martínez, Saúl Calderón Ramírez:
A Brief Analysis of U-Net and Mask R-CNN for Skin Lesion Segmentation. IWOBI 2019: 123-126 - 2018
- [c7]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 - [c6]Máximo Sánchez-Gutiérrez, Enrique Marcelo Albornoz:
Neural Network Pruning Using Discriminative Information for Emotion Recognition. IBERAMIA 2018: 265-273 - [c5]Leandro Daniel Vignolo, Enrique Marcelo Albornoz, César Ernesto Martínez:
Feature Set Optimisation for Infant Cry Classification. IBERAMIA 2018: 455-466 - 2017
- [j4]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) - [j3]Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner:
Feature extraction based on bio-inspired model for robust emotion recognition. Soft Comput. 21(17): 5145-5158 (2017) - [j2]Enrique Marcelo Albornoz, Diego H. Milone:
Emotion Recognition in Never-Seen Languages Using a Novel Ensemble Method with Emotion Profiles. IEEE Trans. Affect. Comput. 8(1): 43-53 (2017) - 2014
- [c4]E. Marcelo Albornoz, Máximo Sánchez-Gutiérrez, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard:
Spoken Emotion Recognition Using Deep Learning. CIARP 2014: 104-111 - [c3]Máximo Sánchez-Gutiérrez, E. Marcelo Albornoz, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard:
Deep Learning for Emotional Speech Recognition. MCPR 2014: 311-320 - 2013
- [c2]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 - 2011
- [j1]Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner:
Spoken emotion recognition using hierarchical classifiers. Comput. Speech Lang. 25(3): 556-570 (2011)
2000 – 2009
- 2009
- [c1]Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner:
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition. COST 2102 Training School 2009: 242-254
Coauthor Index
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