Máximo Sánchez-Gutiérrez - researchr alias

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Viewing Publication 1 - 8 from 8

2022

Improving the accuracy of multiclass classification in machine learning: A case study in a cell signaling datasetPedro Pablo González Pérez, Máximo Sánchez-Gutiérrez. ida, 26(2):481-500, 2022. [doi]

Multi-Class Classification of Medical Data Based on Neural Network Pruning and Information-Entropy MeasuresMáximo Sánchez-Gutiérrez, Pedro Pablo González Pérez. entropy, 24(2):196, 2022. [doi]

2020

Discriminative neural network pruning in a multiclass environment: A case study in spoken emotion recognitionMáximo Sánchez-Gutiérrez, Pedro Pablo González Pérez. speech, 120:20-30, 2020. [doi]

2019

Post-training discriminative pruning for RBMsMáximo Sánchez-Gutiérrez, Enrique M. Albornoz, Hugo Leonardo Rufiner, John Goddard Close. soco, 23(3):767-781, 2019. [doi]

2018

Neural Network Pruning Using Discriminative Information for Emotion RecognitionMáximo Sánchez-Gutiérrez, Enrique Marcelo Albornoz. iberamia 2018: 265-273 [doi]

2014

Spoken Emotion Recognition Using Deep LearningE. Marcelo Albornoz, Máximo Sánchez-Gutiérrez, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard. ciarp 2014: 104-111 [doi]

Deep Learning for Emotional Speech RecognitionMáximo Sánchez-Gutiérrez, E. Marcelo Albornoz, Fabiola Martínez Licona, Hugo Leonardo Rufiner, John C. Goddard. mcpr2 2014: 311-320 [doi]

2013

Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion MatricesManuel Reyes-Vargas, Máximo Sánchez-Gutiérrez, Hugo Leonardo Rufiner, Marcelo Albornoz, Leandro Daniel Vignolo, Fabiola Martínez Licona, John Goddard Close. specom 2013: 162-169 [doi]

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