Fuzzy neural network for document region classification using human visual perception features. - Mario I. Chacon Murguia; Jay B. Jordan (IJCNN, 1999)

Fuzzy Adaptive Edge Definition Based on the Complexity of the Image. - Mario Ignacio Chacon Murguia; Luis Enrique Aguilar; Abdi Delgado (FUZZ-IEEE, 2001)

A Fuzzy Neural Network Approach for Document Region Classification Using Human Visual Perception Features. - Mario Ignacio Chacon Murguia (Computación y Sistemas, 2002)

Image processing using the PCNN time matrix as a selective filter. - Mario Ignacio Chacon Murguia; Alejandro S. Zimmerman (ICIP (1), 2003)

License plate location based on a dynamic PCNN scheme. - Mario I. Chacon; Alejandro S. Zimmerman (IJCNN, 2003)

Cosmetic defect classification found in ophthalmic lenses using artificial neural networks. - Mario I. Chacon Murguia; Dora A. Rodriguez V.; Jose Manny Rivera; Adiel J. Astudillo S. (IJCNN, 2005)

Clasificación de Defectos en Madera utilizando Redes Neuronales Artificiales. - Graciela María de Jesús Ramírez Alonso; Mario Ignacio Chacon Murguia (Computación y Sistemas, 2005)

Fuzzy Clustering Algorithms in Subjective Classification Tasks. - Mario I. Chacon; Graciela Ramírez Alonso (FUZZ-IEEE, 2006)

Synthesis of Pulsed-Coupled Neural Networks in FPGAs for Real-Time Image Segmentation. - Javier Vega-Pineda; Mario Ignacio Chacon Murguia; Roberto Camarillo-Cisneros (IJCNN, 2006)

Wood Defects Classification Using a SOM/FFP Approach with Minimum Dimension Feature Vector. - Mario I. Chacon; Graciela Ramírez Alonso (ISNN (2), 2006)

Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses. - Mario I. Chacon; Juan I. Nevarez; Jose Rivera (IJCNN, 2007)

A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces. - Mario I. Chacon; Waldo J. Perez-Regalado (IJCNN, 2007)

Image Processing Applications with a PCNN. - Mario Ignacio Chacon Murguia; Alejandro S. Zimmerman; Pablo Rivas-Perea (ISNN (3), 2007)

A Fuzzy Approach on Image Complexity Measure. - Mario Ignacio Chacon Murguia; Alma Delia Corral Sáenz; Rafael Sandoval-Rodriguez (Computación y Sistemas, 2007)

A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors. - Mario Ignacio Chacon Murguia; Pablo Rivas-Perea; Graciela Ramírez Alonso (Eng. Lett., 2007)

A fuzzy clustering approach on the classification of non uniform cosmetic defects. - Mario Ignacio Chacon Murguia; Juan I. Nevarez-Santana (FUZZ-IEEE, 2008)

A soft image edge detection approach based on the time matrix of a PCNN. - Mario I. Chacon; Claudia Prieto; R. Sandoval; Alejandro Rodríguez (IJCNN, 2008)

Mobile robot for face recognition: A collaborative environment. - Pablo Rivas-Perea; José-Gerardo Rosiles; Omar Velarde Anaya; Leonardo Valencia Olvera; Luis Humberto Uribe Chavira; Mario I. Chacon (HPCS, 2009)

Simplified SOM-neural model for video segmentation of moving objects. - Mario Ignacio Chacon Murguia; Gonzalez D. Sergio; Javier Vega-Pineda (IJCNN, 2009)

Edge Detection Based on a PCNN-Anisotropic Diffusion Synergetic Approach. - Mario Ignacio Chacon Murguia; Mitzy Nevarez-Aguilar; Angel Licon-Trillo; Oscar Mendoza-Vidaña; J. Alejandro Martinez-Ibarra; Francisco J. Solis-Martinez; Lucina Cordoba Fierro (ISNN (4), 2009)

Multiblob Cosmetic Defect Description/Classification Using a Fuzzy Hierarchical Classifier. - Mario Ignacio Chacon Murguia; Juan I. Nevarez-Santana; Rafael Sandoval-Rodriguez (IEEE Trans. Ind. Electron., 2009)

EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding. - Mario Ignacio Chacon Murguia; Leonardo Valencia Olvera; Alfonso Delgado Reyes (Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009)

Subjective measurement of cosmetic defects using a Computational Intelligence approach. - Mario Ignacio Chacon Murguia; Juan I. Nevarez-Santana; Waldo J. Perez-Regalado (Eng. Appl. Artif. Intell., 2010)

Scene Recognition Based on Fusion of Color and Corner Features. - Mario Ignacio Chacon Murguia; Cynthia P. Guerrero-Saucedo; Rafael Sandoval-Rodriguez (Soft Computing for Recognition Based on Biometrics, 2010)

Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data. - Pablo Rivas-Perea; José-Gerardo Rosiles; Mario Ignacio Chacon Murguia; James Tilton (Soft Computing for Recognition Based on Biometrics, 2010)

Thermal Video Analysis for Fire Detection Using Shape Regularity and Intensity Saturation Features. - Mario Ignacio Chacon Murguia; Francisco J. Perez-Vargas (MCPR, 2011)

Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis. - Mario Ignacio Chacon Murguia; Yearim Quezada-Holguín; Pablo Rivas-Perea; Sergio D. Cabrera (MCPR, 2011)

Human Sign Recognition for Robot Manipulation. - Leonardo Saldivar-Piñon; Mario Ignacio Chacon Murguia; Rafael Sandoval-Rodriguez; Javier Vega-Pineda (MCPR, 2012)

An Adaptive Neural-Fuzzy Approach for Object Detection in Dynamic Backgrounds for Surveillance Systems. - Mario Ignacio Chacon Murguia; Sergio Gonzalez-Duarte (IEEE Trans. Ind. Electron., 2012)

Improvement of a neural-fuzzy motion detection vision model for complex scenario conditions. - Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso; Sergio Gonzalez-Duarte (IJCNN, 2013)

Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (IJCNN, 2013)

A Fuzzy Scheme for Gait Cycle Phase Detection Oriented to Medical Diagnosis. - Mario Ignacio Chacon Murguia; Omar Arias-Enriquez; Rafael Sandoval-Rodriguez (MCPR, 2013)

Practical Aspects on the Implementation of Iterative ANN Models on GPU Technology. - Mario Ignacio Chacon Murguia; Jorge A. Cardona-Soto (Recent Advances on Hybrid Intelligent Systems, 2013)

Rao-blackwellized particle filter for multiple object tracking in video analysis. - Sergio Gonzalez-Duarte; Mario Ignacio Chacon Murguia (CCE, 2014)

Thermal Image Processing for Breast Symmetry Detection Oriented to Automatic Breast Cancer Analysis. - Mario Ignacio Chacon Murguia; Adrian J. Villalobos-Montiel; Jorge D. Calderon-Contreras (MCPR, 2014)

Segmentation of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms. - Graciela María de Jesús Ramírez Alonso; Mario Ignacio Chacon Murguia (SSIAI, 2014)

A DTCNN Approach on Video Analysis: Dynamic and Static Object Segmentation. - Mario Ignacio Chacon Murguia; David Urias-Zavala (Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014)

A neural bio-inspired scheme for head pose recognition. - Huber Eustacio Orozco Rodriguez; Mario Ignacio Chacon Murguia; Juan Alberto Ramirez-Quintana (SP/SPE, 2015)

Body markers detection based on 3D video processing oriented to children gait analysis. - Mario Ignacio Chacon Murguia; Carlos Avalos-Gonzalez; Omar Arias-Enriquez (SP/SPE, 2015)

A fuzzy computer aided diagnosis system using breast thermography. - Jorge D. Calderon-Contreras; Mario Ignacio Chacon Murguia; Adrian J. Villalobos-Montiel; Leticia Ortega Máynez (ISBI, 2015)

Automatic Segmentation of Regions of Interest in Breast Thermographic Images. - Adrian J. Villalobos-Montiel; Mario Ignacio Chacon Murguia; Jorge D. Calderon-Contreras; Leticia Ortega Máynez (MCPR, 2015)

Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection. - Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso (Appl. Soft Comput., 2015)

Detecting Driver Drowsiness: A survey of system designs and technology. - Mario Ignacio Chacon Murguia; Claudia Prieto-Resendiz (IEEE Consumer Electron. Mag., 2015)

An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Neural Process. Lett., 2015)

Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Pattern Recognit., 2015)

Segmentation of video background regions based on a DTCNN-clustering approach. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana; David Urias-Zavala (Signal Image Video Process., 2015)

Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, 2015)

Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana; Graciela Ramírez Alonso (ICPR, 2016)

Background modeling on depth video sequences using self-organizing retinotopic maps. - Mario Ignacio Chacon Murguia; Oscar Alejandro Chavez-Montes; Juan A. Ramirez-Quintana (IJCNN, 2016)

Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Alma Delia Corral Sáenz (MCPR, 2016)

Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos. - Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (Neurocomputing, 2016)

Object detection in video sequences by a temporal modular self-adaptive SOM. - Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (Neural Comput. Appl., 2016)

Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters. - Brenda E. Olivas-Padilla; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (CCE, 2017)

Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. - Graciela María de Jesús Ramírez Alonso; Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Pattern Recognit. Lett., 2017)

UAV Image Segmentation Using a Pulse-Coupled Neural Network for Land Analysis. - Mario Ignacio Chacon Murguia; Luis E. Guerra-Fernandez; Hector Erives (Nature-Inspired Design of Hybrid Intelligent Systems, 2017)

Algortihm for Daphnia Motion Detection in Toxicological Studies. - Jorge Alberto Penaloza Enriquez; Mario I. Chacon Murguia; Roberto Hernandez-Ceron; Gerardo Hernandez-Flores (CCE, 2018)

Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Graciela María de Jesús Ramírez Alonso (Appl. Intell., 2018)

Bio-inspired architecture for static object segmentation in time varying background models from video sequences. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (Neurocomputing, 2018)

Detection of Dynamic Objects in Videos Using LBSP and Fuzzy Gray Level Difference Histograms. - Abimael Guzmán-Pando; Mario I. Chacon Murguia (FUZZ-IEEE, 2019)

Human Image Complexity Analysis Using a Fuzzy Inference System. - Luis Madrid-Herrera; Mario Ignacio Chacon Murguia; Daniel A. Posada-Urrutia; Juan A. Ramirez-Quintana (FUZZ-IEEE, 2019)

Classification of Motor Imagery Using Statistical Models. - Eduardo Rivas-Posada; Mario Ignacio Chacon Murguia; Juan Alberto Ramirez-Quintana (CCE, 2019)

Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface. - Juan A. Ramirez-Quintana; José Manuel Macías-Macías; Alma Delia Corral Sáenz; Mario I. Chacon Murguia (MCPR, 2019)

Classification of multiple motor imagery using deep convolutional neural networks and spatial filters. - Brenda E. Olivas-Padilla; Mario Ignacio Chacon Murguia (Appl. Soft Comput., 2019)

A novel instrument to compare dynamic object detection algorithms. - Mario I. Chacon Murguia; Abimael Guzmán-Pando; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana (Image Vis. Comput., 2019)

Analysis of CNN Models to develop a New Appearance Model for Multiple-Object-Tracking. - Francisco Javier Alvarez-Prieto; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (CCE, 2020)

Deep Learning Networks for Vowel Speech Imagery. - José Manuel Macías-Macías; Juan Alberto Ramirez-Quintana; Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (CCE, 2020)

Feature Extraction Evaluation for Two Motor Imagery Recognition Based on Common Spatial Patterns, Time-Frequency Transformations and SVM. - Mario I. Chacon Murguia; Eduardo Rivas-Posada (IJCNN, 2020)

Human-like evaluation method for object motion detection algorithms. - Abimael Guzmán-Pando; Mario Ignacio Chacon Murguia; Lucia B. Chacon-Diaz (IET Comput. Vis., 2020)

A new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns. - Mario Ignacio Chacon Murguia; Brenda E. Olivas-Padilla; Juan A. Ramirez-Quintana (Signal Image Video Process., 2020)

Fuzzy Modular Neural Model for Blinking Coding Detection and Classification for Linguistic Expression Recognition. - Mario Ignacio Chacon Murguia; Carlos E. Cañedo-Figueroa; Juan A. Ramirez-Quintana (Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms, 2020)

General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model. - Eduardo Rivas-Posada; Mario I. Chacon Murguia (IJCNN, 2021)

Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes. - Juan A. Ramirez-Quintana; Luis Madrid-Herrera; Mario I. Chacon Murguia; Luis F. Corral-Martinez (Cogn. Comput., 2021)

Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction. - Mario Ignacio Chacon Murguia; Andrea Rivero-Olivas; Juan A. Ramirez-Quintana (Signal Image Video Process., 2021)

DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects. - Abimael Guzmán-Pando; Mario Ignacio Chacon Murguia (IEEE Trans. Image Process., 2021)

Recognition of P300 Wave and SSVEP using a Capsule Neural Network. - José Manuel Macías-Macías; Juan A. Ramirez-Quintana; Alejandro Antonio Torres García; Mario Ignacio Chacon Murguia (CCE, 2022)

Analysis Regarding The Learning-To-Learn Process In The Implementation Of A Meta-Supervised Algorithm For Few-Shot Learning. - Eduardo Rivas-Posada; Mario I. Chacon Murguia (IJCNN, 2022)

A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images. - Juan A. Ramirez-Quintana; Ivan Acosta-Lara; Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia; Alma Delia Corral Sáenz (MCPR, 2022)

Shrimp Shape Analysis by a Chord Length Function Based Methodology. - Fernando Joaquín Ramírez-Coronel; Oscar M. Rodríguez-Elias; Madaín Pérez Patricio; Edgard Esquer-Miranda; Julio Waissman Vilanova; Mario I. Chacon Murguia; Omar Hernandez-Gonzalez (RTIP2R, 2022)

A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex. - Juan A. Ramirez-Quintana; Raul Rangel-Gonzalez; Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso (Cogn. Process., 2022)

Parasite Detection in Copro Images with a modified Faster R-CNN. - Miguel A Gutierrez-Velazquez; Mario Ignacio Chacon Murguia (CCE, 2023)

Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples. - Juan A. Ramirez-Quintana; Jesus H. Rios-Barrios; Mario I. Chacon Murguia; Carlos Arzate-Quintana; Alma Delia Corral Sáenz (MCPR, 2023)

Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation. - Armando Reyes-Esparza; Mario I. Chacon Murguia; Juan A. Ramirez-Quintana; Carlos Arzate-Quintana (MCPR, 2023)

A novel Deep Capsule Neural Network for Vowel Imagery patterns from EEG signals. - Juan A. Ramirez-Quintana; José Manuel Macías-Macías; Graciela Ramírez Alonso; Mario I. Chacon Murguia; Luis F. Corral-Martinez (Biomed. Signal Process. Control., 2023)

Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network. - José Manuel Macías-Macías; Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Alejandro Antonio Torres García; Luis F. Corral-Martinez (Comput. Biol. Medicine, 2023)

Automatic base-model selection for white blood cell image classification using meta-learning. - Eduardo Rivas-Posada; Mario I. Chacon Murguia (Comput. Biol. Medicine, 2023)

Moving Object Detection in Video Sequences Based on a Two-Frame Temporal Information CNN. - Mario Ignacio Chacon Murguia; Abimael Guzmán-Pando (Neural Process. Lett., 2023)

A CNN-based modular classification scheme for motor imagery using a novel EEG sampling protocol suitable for IoT healthcare systems. - Mario Ignacio Chacon Murguia; Eduardo Rivas-Posada (Neural Comput. Appl., 2023)

Deep Neural Network Evaluation for Emotion Recognition through Facial Expressions Analysis. - Nirvana C. Amnarán-Orteza; Juan Alberto Ramirez-Quintana; Mario I. Chacon Murguia; Alma Delia Corral Sáenz (CCE, 2024)

Emotion Recognition Method Based on EEG Signal Processing, Simplified Inception Network and Discrete Model. - Juan A. Ramirez-Quintana; Felipe E. Garay Acuña; Mario Ignacio Chacon Murguia; Alejandro Antonio Torres García; Alma Delia Corral Sáenz (MICAI (2), 2024)

Meta-learning methodology based on meta-unsupervised algorithm for meta-model selection to solve few-shot base-tasks. - Eduardo Rivas-Posada; Mario Ignacio Chacon Murguia (Neural Comput. Appl., 2024)

AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation. - Luis Madrid-Herrera; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (Soft Comput., 2024)

Deep Neural Networks and Log-Mel Spectrogram for Emotion Recognition Through Spanish Speech. - Juan A. Ramirez-Quintana; Ricardo S. Ang-Foster; Mario Ignacio Chacon Murguia; Abimael Guzmán-Pando; Alma Delia Corral Sáenz (MCPR, 2025)