Carlos A. Reyes García

发表

Multiagent System as Support for the Diagnosis of Language Impairments Using BCI-Neurofeedback: Preliminary Study

Miguel Angel Casillas, Rosario Baltazar, Eugenio Martínez, 2020, KES-AMSTA.

Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection

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

Infant Cry Classification to Identify Hypoacoustics and Asphyxia with Neural Networks

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

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.

EDUCA: A Web 2.0 Collaborative, Mobile and E-learning Authoring System

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.

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.

Integrating Learning Styles and Affect with an Intelligent Tutoring System

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2013, 2013 12th Mexican International Conference on Artificial Intelligence.

Bias and Variance Optimization for SVMs Model Selection

Hugo Jair Escalante, Carlos A. Reyes García, Alejandro Rosales-Pérez, 2013, FLAIRS Conference.

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..

A Fuzzy Relational Neural Network for Pattern Classification

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

Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products

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

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.

Description of breast density based on a homogeneity representation

Hayde Peregrina-Barreto, Juan Manuel Ramírez-Cortés, Carlos A. Reyes García, 2019, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

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.

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.

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.

Third Degree Volterra Kernel for Newborn Cry Estimation

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

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..

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.

Detection of negative emotional state in speech with ANFIS and genetic algorithms

Carlos A. Reyes García, Humberto Pérez Espinosa, 2009, MAVEBA.

Image Annotation as Text-Image Matching: Challenge Design and Results

Eric Sadit Tellez, Sabino Miranda-Jiménez, Mario Graff, 2019, Computación y Sistemas.

Implementing Fuzzy Expert System for intelligent buildings

Carlos A. Reyes García, Elva Corona-Xelhuantzi, 2003, SAC '03.

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.

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..

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.

A Framework for Creating, Training, and Testing Self-Organizing Maps for Recognizing Learning Styles

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2010, Edutainment.

Transfer learning in imagined speech EEG-based BCIs

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

Acute leukemia classification by ensemble particle swarm model selection

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

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

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

Affective Tutoring System for Android Mobiles

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2014, ICIC.

Fermat: Merging Affective Tutoring Systems with Learning Social Networks

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2012, 2012 IEEE 12th International Conference on Advanced Learning Technologies.

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..

Identification of Felder-Silverman Learning Styles with a Supervised Neural Network

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2010, ICIC.

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..

Multiple Intelligence Tutoring Systems for Mobile Learners

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2008, 2008 Eighth IEEE International Conference on Advanced Learning Technologies.

Fuzzy Relational Compression Applied on Feature Vectors for Infant Cry Recognition

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

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.

Extensión de una red neuronal relacional difusa incorporando distintos productos relacionales a la etapa de entrenamiento

Hugo Jair Escalante, Carlos A. Reyes García, Efraín Mendoza-Castañeda, 2014, Res. Comput. Sci..

Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks

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

Sonificación de EEG para la clasificación de palabras no pronunciadas

Luis Villaseñor Pineda, Carlos A. Reyes García, Alejandro Antonio Torres García, 2014, Res. Comput. Sci..

A Soft Computing Approach for Obtaining Transition Regions in Satellite Images

Leopoldo Altamirano Robles, Jorge Morales, Carlos A. Reyes García, 2010, 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.

A Hybrid Learning Compiler Course

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2010, ICHL.

Designing a Fast Neuro-fuzzy System for Speech Noise Cancellation

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

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

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

A Hybrid Fuzzy-Genetic Algorithm

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

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.

EmoWisconsin: An Emotional Children Speech Database in Mexican Spanish

Luis Villaseñor Pineda, Carlos A. Reyes García, Humberto Pérez Espinosa, 2011, ACII.

Designing VFs by applying genetic algorithms from nullator-based descriptions

Esteban Tlelo-Cuautle, Gerardo Reyes Salgado, Carlos A. Reyes García, 2007, 2007 18th European Conference on Circuit Theory and Design.

Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2013, IbPRIA.

Recognition of Huffman Codewords with a Genetic-Neural Hybrid System

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

Surrogate modeling based on an adaptive network and granular computing

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

Toward a Silent Speech Interface based on Unspoken Speech

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

Facing the full model selection problem in high volume datasets employing intelligent proxy models

Carlos A. Reyes García, Angel Díaz-Pacheco, 2019, Intell. Data Anal..

Authoring Mobile Intelligent Tutoring Systems

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2008, Intelligent Tutoring Systems.

Towards Model-Based User Interface Development of e-Learning Management Systems

Jaime Muñoz Arteaga, Josefina Guerrero García, Carlos A. Reyes García, 2012, Res. Comput. Sci..

Building and Assessing Intelligent Tutoring Systems with an e-Learning 2.0 Authoring System

Héctor G. Barbosa León, Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, 2010, IBERAMIA.

EDUCA: A web 2.0 authoring tool for developing adaptive and intelligent tutoring systems using a Kohonen network

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2011, Expert Syst. Appl..

Automatic Synthesis of Electronic Circuits using Genetic Algorithms

Gerardo Reyes Salgado, Carlos A. Reyes García, Miguel Aurelio Duarte-Villaseñor, 2007, Computación y Sistemas.

Towards a cry classification based on articulated signal processing

Sergio Daniel Cano-Ortiz, Daniel I. Escobedo Beceiro, Taco Ekkel, 2007, MAVEBA.

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.

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.

A Fuzzy-Neural Network for Classifying Learning Styles in a Web 2.0 and Mobile Learning Environment

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2009, 2009 Latin American Web Congress.

Transition regions detection from satellite images based on evolutionary region growing segmentation

Leopoldo Altamirano Robles, Jorge Morales, Carlos A. Reyes García, 2014, Intell. Data Anal..

An Affective and Cognitive Tutoring System for Learning Programming

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2015, MICAI.

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).

Multi-objective model type selection

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

Automatic estimation of parameters for the hierarchical reduction of rules of complex fuzzy controllers

Carlos A. Reyes García, Yulia Nikolaevna Ledeneva, J. Alejandro Díaz Méndez, 2007, ICINCO-ICSO.

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.

Interpreter for the Deployment of Intelligent Tutoring Systems in Mobile Devices

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2011, 2011 IEEE 11th International Conference on Advanced Learning Technologies.

Evolutionary Algorithms in the Optimal Sizing of Analog Circuits

Esteban Tlelo-Cuautle, Gerardo Reyes Salgado, Gustavo Rodríguez Gómez, 2011, Intelligent Computational Optimization in Engineering.

Building and Training of a New Mexican Spanish Voice for Festival

Carlos A. Reyes García, Humberto Pérez Espinosa, 2005, MICAI.

Designing and Implementing Affective and Intelligent Tutoring Systems in a Learning Social Network

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2012, MICAI.

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

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

Genetic Fuzzy Relational Neural Network for Infant Cry Classification

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

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.

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

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

Emotion Recognition in Intelligent Tutoring Systems for Android-Based Mobile Devices

Giner Alor-Hernández, Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, 2014, MICAI.

Applying Intelligent Systems for Modeling Students' Learning Styles Used for Mobile and Web-Based Systems

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2011, Soft Computing for Intelligent Control and Mobile Robotics.

Hybrid Algorithm Applied to Feature Selection for Speaker Authentication

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

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.

L2Code: An Author Environment for Hybrid and Personalized Programming Learning

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Leopoldo Zepeda-Sánchez, 2008, ICHL.

Authoring Neuro-fuzzy Tutoring Systems for M and E-Learning

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2008, MICAI.

Pattern Recognition for the Identification of Learning Styles on Educational Mobile and Social Network Tools

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2011 .

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.

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..

Improving Baby Caring with Automatic Infant Cry Recognition

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

MOPG: a multi-objective evolutionary algorithm for prototype generation

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

Reconocimiento de expresiones faciales con base en la dinámica de puntos de referencia faciales

Hayde Peregrina-Barreto, Carlos A. Reyes García, E. Morales-Vargas, 2017, Res. Comput. Sci..

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..

Genetic Selection of Fuzzy Model for Acute Leukemia Classification

Leopoldo Altamirano Robles, Pilar Gómez-Gil, Carlos A. Reyes García, 2011, 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.

A Combined Classifier of Cry Units with New Acoustic Attributes

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

An evolutionary multi-objective approach for prototype generation

Hugo Jair Escalante, Carlos A. Coello Coello, Carlos A. Reyes García, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

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.

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.

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.

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.

Infant Cry Classification Using Genetic Selection of a Fuzzy Model

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

A Learning Social Network with Recognition of Learning Styles Using Neural Networks

Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Carlos A. Reyes García, 2010, MCPR.

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..

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.