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ORCIDMáximo Sánchez-Gutiérrez
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2020 – today
- 2022
[j4]Máximo Sánchez-Gutiérrez
, Pedro Pablo González Pérez:
Multi-Class Classification of Medical Data Based on Neural Network Pruning and Information-Entropy Measures. Entropy 24(2): 196 (2022)- [j3]Pedro Pablo González Pérez, Máximo Sánchez-Gutiérrez:
Improving the accuracy of multiclass classification in machine learning: A case study in a cell signaling dataset. Intell. Data Anal. 26(2): 481-500 (2022) - 2020
- [j2]Máximo Sánchez-Gutiérrez, Pedro Pablo González Pérez:
Discriminative neural network pruning in a multiclass environment: A case study in spoken emotion recognition. Speech Commun. 120: 20-30 (2020)
2010 – 2019
- 2019
- [j1]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) - 2018
- [c4]Máximo Sánchez-Gutiérrez, Enrique Marcelo Albornoz:
Neural Network Pruning Using Discriminative Information for Emotion Recognition. IBERAMIA 2018: 265-273 - 2014
- [c3]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 - [c2]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
- [c1]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
Coauthor Index
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