C. Reyes-García

发表

Acoustic feature selection and classification of emotions in speech using a 3D continuous emotion model

Carlos A. Reyes-García, Luis Villaseñor-Pineda, L. Villaseñor-Pineda, 2012 .

Natural Language Dialogue System for Information Retrieval

A. López-López, J. González-Bernal, L. Villaseñor-Pineda, 2003 .

Applying Scaled Conjugate Gradient for the Classification of Infant Cry with Neural Networks

C. Reyes-García, J. Orozco-García, 2002 .

Fuzzy Expert Systems and Multiagents for Intelligent Buildings

Carlos A. Reyes-Garcia, C. Reyes-García, Elva C. Xelhuantzi, 2004 .

Fuzzy logic and fuzzy systems

C. Reyes-García, A. A. Torres-Garcia, A. Torres-Garcia, 2022, Biosignal Processing and Classification Using Computational Learning and Intelligence.

Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition

Jesús S. García-Salinas, L. Villaseñor-Pineda, C. Reyes-García, 2023, Biomed. Signal Process. Control..

Artificial Visual System Used for Dental Fluorosis Discrimination

Miguel Mora-González, Francisco G. Peña-Lecona, Jesús Muñoz-Maciel, 2017 .

Advances in Artificial Intelligence

Alexander Gelbukh, Juan Humberto Sossa Azuela, Editores del Volumen, 2011, Lecture Notes in Computer Science.

A Generic Deep Learning Based Cough Analysis System From Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels pdf

Mehrin Kiani, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2021, IEEE Transactions on Services Computing.

A mapreduce based framework to perform full model selection in very large datasets

Carlos A. Reyes-Garcia, Angel Díaz Pacheco, esús A. Gonzalez-Bernal, 2018 .

Implementing a fuzzy inference system in a multi-objective EEG channel selection model for imagined speech classification

Carlos A. Reyes-García, Luis Villaseñor-Pineda, Gregorio Garcia-Aguilar, 2016 .

Analysis of facial expressions in parkinson's disease through video-based automatic methods

Claudia Manfredi, Hugo Jair Escalante, Silvia Orlandi, 2017, Journal of Neuroscience Methods.

Formal Protocol for the Creation of a Database of Physiological and Behavioral Signals for the Automatic Recognition of Emotions

Ivan Olmos-Pineda, Carlos Alberto Reyes-García, Juan Manuel González-Calleros, 2019, Communications in Computer and Information Science.

On the use of Action Units and fuzzy explanatory models for facial expression recognition

Hayde Peregrina-Barreto, E Morales-Vargas, C A Reyes-García, 2019, PloS one.

Granule-based fuzzy rules to assist in the infant-crying pattern recognition problem

C. Reyes-García, Ángel Díaz-Pacheco, Á. Díaz-Pacheco, 2021, Sādhanā.

Representation for event-related fMRI

C. Reyes-García, C. Cruz-Martínez, 2022, Biosignal Processing and Classification Using Computational Learning and Intelligence.

A survey on EEG-based imagined speech classification

C. Reyes-García, Luis Villaseñor-Pineda, A. Torres-García, 2022, Biosignal Processing and Classification Using Computational Learning and Intelligence.

AN ALGORITHM FOR DETECTING THE ONSET OF LINGUISTIC SEGMENTS IN CONTINUOUS ELECTROENCEPHALOGRAM SIGNALS

C. Reyes-García, C. T. Hernández-del-Toro, 2019 .

Evolutionary-Neural System to Classify Infant Cry Units for Pathologies Identification in Recently Born Babies

Sergio Daniel Cano-Ortiz, O.F. Reyes-Galaviz, S.D. Cano-Ortiz, 2008, 2008 Seventh Mexican International Conference on Artificial Intelligence.

A Study on the Recognition of Patterns of Infant Cry for the Identification of Deafness in Just Born Babies with Neural Networks

Carlos A. Reyes-García, José Orozco-García, C. Reyes-García, 2003 .

Implementation and analysis of training algorithms for the classification of infant cry with feed-forward neural networks

C.A. Reyes-Garcia, J. Orozco, C. Reyes-García, 2003, IEEE International Symposium on Intelligent Signal Processing, 2003.

Emergence of a New Alternative on Cry Analysis: The Fuzzy Approach

Sergio Daniel Cano-Ortiz, Orion F. Reyes-Galaviz, Carlos A. Reyes-García, 2013 .

Non-sorting genetic algorithm in the optimization of unity-gain cells

E. Tlelo-Cuautle, I. Guerra-Gomez, C.A. Reyes-Garcia, 2009, 2009 6th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Automated analysis of newborn cry: relationships between melodic shapes and native language

Claudia Manfredi, Carlos Alberto Reyes García, Alejandro Antonio Torres García, 2019, Biomed. Signal Process. Control..

Overview of the 2017 RedICA text-image matching (RICATIM) challenge

Hugo Jair Escalante, Eduardo F. Morales, Carlos A. Reyes-García, 2017, 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Fuzzy Support Vector Machines for Automatic Infant Cry Recognition

Sandra E. Barajas-Montiel, Carlos A. Reyes-García, C. Reyes-García, 2006 .

Enhanced fuzzy autoassociative morphological memory for binary pattern recall

Carlos Alberto Reyes-García, Gonzalo Urcid, José Angel Nieves-Vázquez, 2007 .

Analysis and processing of infant cry for diagnosis purposes

C. Reyes-García, O. F. Reyes-Galaviz, Mario Mandujano Valdes, 2022, Biosignal Processing and Classification Using Computational Learning and Intelligence.