C. García

发表

Designing a Fast Neuro-fuzzy System for Speech Noise Cancellation

Anna Esposito, Carlos A. Reyes García, Eugène C. Ezin, 2000, MICAI.

Speech Noise Cancellation Based on a Neuro-Fuzzy System: Further Improvements

Anna Esposito, Carlos A. Reyes García, Eugène C. Ezin, 2001, J. Adv. Comput. Intell. Intell. Informatics.

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, Neurocomputing.

Features selection for primitives estimation on emotional speech

Luis Villaseñor Pineda, Carlos A. Reyes García, Humberto Pérez Espinosa, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Luis Villaseñor Pineda, Carlos A. Reyes García, Humberto Pérez Espinosa, 2012, Biomed. Signal Process. Control..

Infant Cry Classification to Identify Hypo acoustics and Asphyxia with an Evolutionary-Neural System

C. García, Sergio Ortiz, O. F. R. Galaviz, 2005 .

Your Fuzzy Relational Neural Network Parameters Optimization with a Genetic Algorithm

Carlos A. Reyes García, Sandra E. Barajas-Montiel, Sandra E. Barajas-Montiel, 2005, FUZZ-IEEE.

Genetic Fuzzy Relational Neural Network for Infant Cry Classification

Pilar Gómez-Gil, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2011, MCPR.

Bilingual acoustic feature selection for emotion estimation using a 3D continuous model

Luis Villaseñor Pineda, Carlos A. Reyes García, Humberto Pérez Espinosa, 2011, Face and Gesture 2011.

Type-2 Fuzzy Sets Applied to Pattern Matching for the Classification of Cries of Infants under Neurological Risk

Pilar Gómez-Gil, Carlos A. Reyes García, Karen Santiago-Sánchez, 2009, ICIC.

Statistical Vectors of Acoustic Features for the Automatic Classification of Infant Cry

Carlos A. Reyes García, Erika Amaro-Camargo, Emilio Arch Tirado, 2007, Int. J. Inf. Acquis..

On the Processing of Fuzzy Patterns for Text Independent Phonetic Speech Segmentation

Carlos A. Reyes García, Luis D. Huerta-Hernández, C. García, 2006, CIARP.

Identifying Pain and Hunger in Infant Cry with Classifiers Ensembles

Carlos A. Reyes García, Sandra E. Barajas-Montiel, C. García, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

MOPG: a multi-objective evolutionary algorithm for prototype generation

Hugo Jair Escalante, Mario Graff, Manuel Montes-y-Gómez, 2017, Pattern Analysis and Applications.

Implementing a Fuzzy Relational Neural Network for Phonetic Automatic Speech Recognition

Wyllis Bandler, Carlos Alberto Reyes Garcia, C. García, 1996 .

Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks

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

Surrogate modeling based on an adaptive network and granular computing

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2016, Soft Comput..

EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2016, Intelligent Data Analysis.

Surrogate-assisted multi-objective model selection for support vector machines

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2015, Neurocomputing.

ARGEN + AREPO: Improving the Search Process with Artificial Genetic Engineering

Carlos A. Reyes García, Agustín León-Barranco, C. García, 2005, IWANN.

Automatic Estimation of the Fusion Method Parameters to Reduce Rule Base of Fuzzy Control Complex Systems

Carlos A. Reyes García, Yulia Nikolaevna Ledeneva, José A. Calderón-Martínez, 2006, MICAI.

A Hybrid Fuzzy-Genetic Algorithm

Ramón Zataraín-Cabada, Carlos A. Reyes García, Agustín León-Barranco, 2006, ICIC.

ARGEN + AREPO: mixing the artificial genetic engineering and artificial evolution of populations to improve the search process

Carlos A. Reyes García, Sandra E. Barajas-Montiel, Agustín León-Barranco, 2005, GECCO '05.

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

Luis Villaseñor Pineda, Carlos A. Reyes García, Alejandro Antonio Torres García, 2016, Expert Syst. Appl..

A Framework Based on Eye-Movement Detection from EEG Signals for Flight Control of a Drone

Luis Villaseñor Pineda, Carlos Alberto Reyes García, José Martínez-Carranza, 2017, MICAI.

Gyroscope-Driven Mouse Pointer with an EMOTIV® EEG Headset and Data Analysis Based on Empirical Mode Decomposition

Vicente Alarcón Aquino, Pilar Gómez-Gil, Juan Manuel Ramírez-Cortés, 2013, Sensors.

Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2015, Biomed. Signal Process. Control..

Infant Cry Classification Using Genetic Selection of a Fuzzy Model

Carlos A. Reyes García, Alejandro Rosales-Pérez, Jesus A. Gonzalez, 2012, CIARP.

Transfer learning in imagined speech EEG-based BCIs

Luis Villaseñor Pineda, Carlos A. Reyes García, Alejandro Antonio Torres García, 2019, Biomed. Signal Process. Control..

Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals

Carlos A. Reyes-García, Luis Villaseñor-Pineda, Tonatiuh Hernández-Del-Toro, 2021, Biomedical Signal Processing and Control.

An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals pdf

Carlos A. Reyes García, Tonatiuh Hernández-Del-Toro, C. García, 2020, ArXiv.

Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, CIARP.

Recognition of Huffman Codewords with a Genetic-Neural Hybrid System

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, Eugène C. Ezin, 2010, MICAI.

Sonification and textification: Proposing methods for classifying unspoken words from EEG signals

Luis Villaseñor Pineda, Carlos A. Reyes García, Alejandro Antonio Torres García, 2017, Biomed. Signal Process. Control..

Acoustic Features Analysis for Recognition of Normal and Hipoacusic Infant Cry Based on Neural Networks

Carlos A. Reyes García, José Orozco García, C. García, 2009, IWANN.

Infant Cry Classification to Identify Hypo Acoustics and Asphyxia Comparing an Evolutionary-Neural System with a Neural Network System

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, C. García, 2005, MICAI.

Classification of Infant Crying to Identify Pathologies in Recently Born Babies with ANFIS

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, Emilio Arch Tirado, 2004, ICCHP.

Toward a Silent Speech Interface based on Unspoken Speech

Luis Villaseñor Pineda, Carlos A. Reyes García, Alejandro Antonio Torres García, 2012, BIOSIGNALS.

Synthesis of Analog Circuits by Genetic Algorithms and their Optimization by Particle Swarm Optimization

Esteban Tlelo-Cuautle, Carlos A. Reyes García, Miguel Aurelio Duarte-Villaseñor, 2010, Intelligent Systems for Automated Learning and Adaptation.

Surrogate modeling based on granular models and fuzzy aptitude functions

Hugo Jair Escalante, Juan Manuel Ramírez-Cortés, Carlos A. Reyes García, 2018, Appl. Soft Comput..

Genetic algorithms based on a granular surrogate model and fuzzy aptitude functions

Pilar Gómez-Gil, Juan Manuel Ramírez-Cortés, Carlos Alberto Reyes García, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A hybrid surrogate-based approach for evolutionary multi-objective optimization

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, 2013 IEEE Congress on Evolutionary Computation.

A Combined Classifier of Cry Units with New Acoustic Attributes

Sergio Daniel Cano-Ortiz, Daniel I. Escobedo Beceiro, Taco Ekkel, 2006, CIARP.

Mel-frequency cepstrum coefficients extraction from infant cry for classification of normal and pathological cry with feed-forward neural networks

J.O. Garcia, C.A. Reyes Garcia, C. García, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Soft Computing Approaches to the Problem of Infant Cry Classification with Diagnostic Purposes

Sergio Daniel Cano-Ortiz, Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, 2010, Soft Computing for Recognition Based on Biometrics.

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. García, 2003, CIARP.

Density map and fuzzy classification for breast density by using BI-RADS

Hayde Peregrina-Barreto, Carlos A. Reyes García, I. Valencia-Hernandez, 2020, Comput. Methods Programs Biomed..

Acute leukemia classification by ensemble particle swarm model selection

Hugo Jair Escalante, Leopoldo Altamirano Robles, Manuel Montes-y-Gómez, 2012, Artif. Intell. Medicine.

Validation of the Cry Unit as Primary Element for Cry Analysis Using an Evolutionary-Neural Approach

Sergio Daniel Cano-Ortiz, Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, 2008, 2008 Mexican International Conference on Computer Science.

Third Degree Volterra Kernel for Newborn Cry Estimation

Efraín Lopez-Damian, Gibran Etcheverry, Carlos A. Reyes García, 2010, MCPR.

Implementation of a Linguistic Fuzzy Relational Neural Network for Detecting Pathologies by Infant Cry Recognition

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, Israel Suaste-Rivas, 2004, IBERAMIA.

Automatic infant cry analysis for the identification of qualitative features to help opportune diagnosis

Carlos A. Reyes García, Luis Carlos Altamirano, Antonio Verduzco-Mendoza, 2012, Biomed. Signal Process. Control..

Fuzzy Relational Compression Applied on Feature Vectors for Infant Cry Recognition

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, C. García, 2009, MICAI.

Qualitative and Quantitative Crying Analysis of New Born Babies Delivered Under High Risk Gestation

Carlos A. Reyes García, Emilio Arch Tirado, Jaime Leybón Ibarra, 2009, COST 2102 School.

Applying Statistical Vectors of Acoustic Characteristics for the Automatic Classification of Infant Cry

Carlos A. Reyes García, Erika Amaro-Camargo, C. García, 2007, ICIC.

Hybrid Neural Network Design and Implementation on FPGA for Infant Cry Recognition

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, Israel Suaste-Rivas, 2006, TSD.

Improving Baby Caring with Automatic Infant Cry Recognition

Carlos A. Reyes García, Sandra E. Barajas-Montiel, Emilio Arch Tirado, 2006, ICCHP.

A Fuzzy Relational Neural Network for Pattern Classification

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, Israel Suaste-Rivas, 2004, CIARP.

Infant Cry Classification to Identify Hypoacoustics and Asphyxia with Neural Networks

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, C. García, 2004, MICAI.

Analysis of an Infant Cry Recognizer for the Early Identification of Pathologies

Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, Emilio Arch Tirado, 2004, Summer School on Neural Networks.

Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks

C. García, J. O. García, 2003, ESANN.

Speech Text-Independent Segmentation Using an Improvement Method for Identification of Phoneme Boundaries

Pilar Gómez-Gil, Carlos A. Reyes García, Ricardo Sanchez Jurado, 2009, 2009 International Conference on Electrical, Communications, and Computers.

Optimization of distribution of centers in the supply chain using genetic algorithms

Héctor Domínguez Martínez, Carlos Alberto Reyes García, Alejandro Rosales, 2012 .

Hybrid Algorithm Applied to Feature Selection for Speaker Authentication

Leticia Flores-Pulido, Carlos A. Reyes García, Orion Fausto Reyes-Galaviz, 2006, MICAI.

A Hybrid System for Automatic Infant Cry Recognition I

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2009, Encyclopedia of Artificial Intelligence.

Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2014, CIARP.

Automatic identification of qualitatives characteristics in infant cry

Carlos A. Reyes García, Luis Carlos Altamirano, Oscar Herrera-Alcántara, 2010, 2010 IEEE Spoken Language Technology Workshop.