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ORCIDMario Ignacio Chacon Murguia
Mario I. Chacon – Mario I. Chacon Murguia
Person information
- affiliation: National Institute of Technology of Mexico, Mexico City, Mexico
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2020 – today
- 2024
[j32]Eduardo Rivas-Posada
, Mario Ignacio Chacon Murguia:
Meta-learning methodology based on meta-unsupervised algorithm for meta-model selection to solve few-shot base-tasks. Neural Comput. Appl. 36(16): 9073-9094 (2024)- [j31]Luis Madrid-Herrera, Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana:
AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation. Soft Comput. 28(15-16): 8561-8577 (2024) - [c48]Juan A. Ramirez-Quintana, Felipe E. Garay Acuña, Mario Ignacio Chacon Murguia, Alejandro Antonio Torres García, Alma Delia Corral Sáenz:
Emotion Recognition Method Based on EEG Signal Processing, Simplified Inception Network and Discrete Model. MICAI (2) 2024: 113-123 - 2023
- [j30]Juan A. Ramirez-Quintana, José Manuel Macías-Macías, Graciela Ramírez Alonso, Mario I. Chacon Murguia, Luis F. Corral-Martinez:
A novel Deep Capsule Neural Network for Vowel Imagery patterns from EEG signals. Biomed. Signal Process. Control. 81: 104500 (2023) - [j29]José Manuel Macías-Macías, Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia, Alejandro Antonio Torres García, Luis F. Corral-Martinez:
Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network. Comput. Biol. Medicine 159: 106909 (2023) - [j28]Eduardo Rivas-Posada, Mario I. Chacon Murguia:
Automatic base-model selection for white blood cell image classification using meta-learning. Comput. Biol. Medicine 163: 107200 (2023) - [j27]Mario Ignacio Chacon Murguia, Eduardo Rivas-Posada:
A CNN-based modular classification scheme for motor imagery using a novel EEG sampling protocol suitable for IoT healthcare systems. Neural Comput. Appl. 35(31): 22865-22886 (2023) - [j26]Mario Ignacio Chacon Murguia, Abimael Guzmán-Pando:
Moving Object Detection in Video Sequences Based on a Two-Frame Temporal Information CNN. Neural Process. Lett. 55(5): 5425-5449 (2023) - [c47]Miguel A Gutierrez-Velazquez, Mario Ignacio Chacon Murguia:
Parasite Detection in Copro Images with a modified Faster R-CNN. CCE 2023: 1-6 - [c46]Armando Reyes-Esparza, Mario I. Chacon Murguia, Juan A. Ramirez-Quintana, Carlos Arzate-Quintana:
Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation. MCPR 2023: 139-148 - [c45]Juan A. Ramirez-Quintana, Jesus H. Rios-Barrios, Mario I. Chacon Murguia, Carlos Arzate-Quintana, Alma Delia Corral Sáenz:
Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples. MCPR 2023: 221-230 - 2022
- [j25]Juan A. Ramirez-Quintana, Raul Rangel-Gonzalez, Mario Ignacio Chacon Murguia, Graciela Ramírez Alonso:
A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex. Cogn. Process. 23(1): 27-40 (2022) - [c44]José Manuel Macías-Macías, Juan A. Ramirez-Quintana, Alejandro Antonio Torres García, Mario Ignacio Chacon Murguia:
Recognition of P300 Wave and SSVEP using a Capsule Neural Network. CCE 2022: 1-6 - [c43]Eduardo Rivas-Posada, Mario I. Chacon Murguia:
Analysis Regarding The Learning-To-Learn Process In The Implementation Of A Meta-Supervised Algorithm For Few-Shot Learning. IJCNN 2022: 1-8 - [c42]Juan A. Ramirez-Quintana, Ivan Acosta-Lara, Graciela Ramírez Alonso, Mario Ignacio Chacon Murguia, Alma Delia Corral Sáenz:
A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images. MCPR 2022: 328-337 - [c41]Fernando Joaquín Ramírez-Coronel, Oscar M. Rodríguez-Elias, Madaín Pérez Patricio, Edgard Esquer-Miranda, Julio Waissman Vilanova, Mario I. Chacon Murguia, Omar Hernandez-Gonzalez:
Shrimp Shape Analysis by a Chord Length Function Based Methodology. RTIP2R 2022: 205-219 - 2021
- [j24]Juan A. Ramirez-Quintana, Luis Madrid-Herrera, Mario I. Chacon Murguia, Luis F. Corral-Martinez:
Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes. Cogn. Comput. 13(1): 108-124 (2021) - [j23]Mario Ignacio Chacon Murguia, Andrea Rivero-Olivas, Juan A. Ramirez-Quintana:
Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction. Signal Image Video Process. 15(7): 1585-1592 (2021) - [j22]Abimael Guzmán-Pando, Mario Ignacio Chacon Murguia:
DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects. IEEE Trans. Image Process. 30: 7090-7100 (2021) - [c40]Eduardo Rivas-Posada, Mario I. Chacon Murguia:
General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model. IJCNN 2021: 1-8 - 2020
- [j21]Abimael Guzmán-Pando, Mario Ignacio Chacon Murguia, Lucia B. Chacon-Diaz:
Human-like evaluation method for object motion detection algorithms. IET Comput. Vis. 14(8): 674-682 (2020) - [j20]Mario Ignacio Chacon Murguia, Brenda E. Olivas-Padilla, Juan A. Ramirez-Quintana:
A new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns. Signal Image Video Process. 14(5): 915-923 (2020) - [c39]Francisco Javier Alvarez-Prieto, Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana:
Analysis of CNN Models to develop a New Appearance Model for Multiple-Object-Tracking. CCE 2020: 1-6 - [c38]José Manuel Macías-Macías, Juan Alberto Ramirez-Quintana, Graciela Ramírez Alonso, Mario Ignacio Chacon Murguia:
Deep Learning Networks for Vowel Speech Imagery. CCE 2020: 1-6 - [c37]Mario I. Chacon Murguia, Eduardo Rivas-Posada:
Feature Extraction Evaluation for Two Motor Imagery Recognition Based on Common Spatial Patterns, Time-Frequency Transformations and SVM. IJCNN 2020: 1-7 - [p8]Mario Ignacio Chacon Murguia, Carlos E. Cañedo-Figueroa, Juan A. Ramirez-Quintana:
Fuzzy Modular Neural Model for Blinking Coding Detection and Classification for Linguistic Expression Recognition. Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms 2020: 675-689
2010 – 2019
- 2019
- [j19]Brenda E. Olivas-Padilla, Mario Ignacio Chacon Murguia:
Classification of multiple motor imagery using deep convolutional neural networks and spatial filters. Appl. Soft Comput. 75: 461-472 (2019) - [j18]Mario I. Chacon Murguia, Abimael Guzmán-Pando, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana:
A novel instrument to compare dynamic object detection algorithms. Image Vis. Comput. 88: 19-28 (2019) - [c36]Abimael Guzmán-Pando, Mario I. Chacon Murguia:
Detection of Dynamic Objects in Videos Using LBSP and Fuzzy Gray Level Difference Histograms. FUZZ-IEEE 2019: 1-6 - [c35]Luis Madrid-Herrera, Mario Ignacio Chacon Murguia, Daniel A. Posada-Urrutia, Juan A. Ramirez-Quintana:
Human Image Complexity Analysis Using a Fuzzy Inference System. FUZZ-IEEE 2019: 1-6 - [c34]Eduardo Rivas-Posada, Mario Ignacio Chacon Murguia, Juan Alberto Ramirez-Quintana:
Classification of Motor Imagery Using Statistical Models. CCE 2019: 1-6 - [c33]Juan A. Ramirez-Quintana, José Manuel Macías-Macías, Alma Delia Corral Sáenz, Mario I. Chacon Murguia:
Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface. MCPR 2019: 248-258 - 2018
- [j17]Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia, Graciela María de Jesús Ramírez Alonso:
Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping. Appl. Intell. 48(12): 4976-4997 (2018) - [j16]Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana:
Bio-inspired architecture for static object segmentation in time varying background models from video sequences. Neurocomputing 275: 1846-1860 (2018) - [c32]Jorge Alberto Penaloza Enriquez, Mario I. Chacon Murguia, Roberto Hernandez-Ceron, Gerardo Hernandez-Flores:
Algortihm for Daphnia Motion Detection in Toxicological Studies. CCE 2018: 1-6 - 2017
- [j15]Graciela María de Jesús Ramírez Alonso, Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia:
Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. Pattern Recognit. Lett. 96: 34-44 (2017) - [c31]Brenda E. Olivas-Padilla, Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana:
Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters. CCE 2017: 1-6 - [p7]Mario Ignacio Chacon Murguia, Luis E. Guerra-Fernandez, Hector Erives:
UAV Image Segmentation Using a Pulse-Coupled Neural Network for Land Analysis. Nature-Inspired Design of Hybrid Intelligent Systems 2017: 175-185 - 2016
- [j14]Graciela Ramírez Alonso, Mario Ignacio Chacon Murguia:
Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos. Neurocomputing 175: 990-1000 (2016) - [j13]Graciela Ramírez Alonso, Mario Ignacio Chacon Murguia:
Object detection in video sequences by a temporal modular self-adaptive SOM. Neural Comput. Appl. 27(2): 411-430 (2016) - [c30]Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Graciela Ramírez Alonso:
Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset. ICPR 2016: 137-142 - [c29]Mario Ignacio Chacon Murguia, Oscar Alejandro Chavez-Montes, Juan A. Ramirez-Quintana:
Background modeling on depth video sequences using self-organizing retinotopic maps. IJCNN 2016: 1090-1095 - [c28]Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia, Alma Delia Corral Sáenz:
Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model. MCPR 2016: 54-63 - 2015
- [j12]Mario Ignacio Chacon Murguia, Graciela Ramírez Alonso:
Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection. Appl. Soft Comput. 36: 570-577 (2015) - [j11]Mario Ignacio Chacon Murguia, Claudia Prieto-Resendiz:
Detecting Driver Drowsiness: A survey of system designs and technology. IEEE Consumer Electron. Mag. 4(4): 107-119 (2015) - [j10]Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia:
An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios. Neural Process. Lett. 42(3): 665-689 (2015) - [j9]Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia:
Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios. Pattern Recognit. 48(4): 1137-1149 (2015) - [j8]Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, David Urias-Zavala:
Segmentation of video background regions based on a DTCNN-clustering approach. Signal Image Video Process. 9(Supplement-1): 135-144 (2015) - [c27]Mario Ignacio Chacon Murguia, Carlos Avalos-Gonzalez, Omar Arias-Enriquez:
Body markers detection based on 3D video processing oriented to children gait analysis. SP/SPE 2015: 385-390 - [c26]Huber Eustacio Orozco Rodriguez, Mario Ignacio Chacon Murguia, Juan Alberto Ramirez-Quintana:
A neural bio-inspired scheme for head pose recognition. SP/SPE 2015: 403-408 - [c25]Jorge D. Calderon-Contreras, Mario Ignacio Chacon Murguia, Adrian J. Villalobos-Montiel, Leticia Ortega Maynez:
A fuzzy computer aided diagnosis system using breast thermography. ISBI 2015: 105-108 - [c24]Adrian J. Villalobos-Montiel, Mario Ignacio Chacon Murguia, Jorge D. Calderon-Contreras, Leticia Ortega Maynez:
Automatic Segmentation of Regions of Interest in Breast Thermographic Images. MCPR 2015: 135-144 - [p6]Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana:
Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization 2015: 103-117 - 2014
- [c23]Sergio Gonzalez-Duarte, Mario Ignacio Chacon Murguia:
Rao-blackwellized particle filter for multiple object tracking in video analysis. CCE 2014: 1-8 - [c22]Mario Ignacio Chacon Murguia, Adrian J. Villalobos-Montiel, Jorge D. Calderon-Contreras:
Thermal Image Processing for Breast Symmetry Detection Oriented to Automatic Breast Cancer Analysis. MCPR 2014: 271-280 - [c21]Graciela María de Jesús Ramírez Alonso, Mario Ignacio Chacon Murguia:
Segmentation of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms. SSIAI 2014: 33-36 - [p5]Mario Ignacio Chacon Murguia, David Urias-Zavala:
A DTCNN Approach on Video Analysis: Dynamic and Static Object Segmentation. Recent Advances on Hybrid Approaches for Designing Intelligent Systems 2014: 315-336 - 2013
- [c20]Mario Ignacio Chacon Murguia, Graciela Ramírez Alonso, Sergio Gonzalez-Duarte:
Improvement of a neural-fuzzy motion detection vision model for complex scenario conditions. IJCNN 2013: 1-8 - [c19]Juan A. Ramirez-Quintana, Mario Ignacio Chacon Murguia:
Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences. IJCNN 2013: 1-8 - [c18]Mario Ignacio Chacon Murguia, Omar Arias-Enriquez, Rafael Sandoval-Rodriguez:
A Fuzzy Scheme for Gait Cycle Phase Detection Oriented to Medical Diagnosis. MCPR 2013: 20-29 - [p4]Mario Ignacio Chacon Murguia, Jorge A. Cardona-Soto:
Practical Aspects on the Implementation of Iterative ANN Models on GPU Technology. Recent Advances on Hybrid Intelligent Systems 2013: 433-449 - 2012
- [j7]Mario Ignacio Chacon Murguia, Sergio Gonzalez-Duarte:
An Adaptive Neural-Fuzzy Approach for Object Detection in Dynamic Backgrounds for Surveillance Systems. IEEE Trans. Ind. Electron. 59(8): 3286-3298 (2012) - [c17]Leonardo Saldivar-Piñon, Mario Ignacio Chacon Murguia, Rafael Sandoval-Rodriguez, Javier Vega-Pineda:
Human Sign Recognition for Robot Manipulation. MCPR 2012: 107-116 - 2011
- [c16]Mario Ignacio Chacon Murguia, Francisco J. Perez-Vargas:
Thermal Video Analysis for Fire Detection Using Shape Regularity and Intensity Saturation Features. MCPR 2011: 118-126 - [c15]Mario Ignacio Chacon Murguia, Yearim Quezada-Holguín, Pablo Rivas-Perea, Sergio D. Cabrera:
Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis. MCPR 2011: 305-313 - 2010
- [j6]Mario Ignacio Chacon Murguia, Juan I. Nevarez-Santana, Waldo J. Perez-Regalado:
Subjective measurement of cosmetic defects using a Computational Intelligence approach. Eng. Appl. Artif. Intell. 23(8): 1380-1387 (2010) - [p3]Mario Ignacio Chacon Murguia, Cynthia P. Guerrero-Saucedo, Rafael Sandoval-Rodriguez:
Scene Recognition Based on Fusion of Color and Corner Features. Soft Computing for Recognition Based on Biometrics 2010: 317-331 - [p2]Pablo Rivas-Perea, José-Gerardo Rosiles, Mario Ignacio Chacon Murguia, James Tilton:
Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data. Soft Computing for Recognition Based on Biometrics 2010: 443-454
2000 – 2009
- 2009
- [j5]Mario Ignacio Chacon Murguia, Juan I. Nevarez-Santana, Rafael Sandoval-Rodriguez:
Multiblob Cosmetic Defect Description/Classification Using a Fuzzy Hierarchical Classifier. IEEE Trans. Ind. Electron. 56(4): 1292-1299 (2009) - [c14]Pablo Rivas-Perea, José-Gerardo Rosiles, Omar Velarde Anaya, Leonardo Valencia Olvera, Luis Humberto Uribe Chavira, Mario I. Chacon:
Mobile robot for face recognition: A collaborative environment. HPCS 2009: 223-229 - [c13]Mario Ignacio Chacon Murguia, Gonzalez D. Sergio, Javier Vega-Pineda:
Simplified SOM-neural model for video segmentation of moving objects. IJCNN 2009: 474-480 - [c12]Mario Ignacio Chacon Murguia, Mitzy Nevarez-Aguilar, Angel Licon-Trillo, Oscar Mendoza-Vidaña, J. Alejandro Martinez-Ibarra, Francisco J. Solis-Martinez, Lucina Cordoba Fierro:
Edge Detection Based on a PCNN-Anisotropic Diffusion Synergetic Approach. ISNN (4) 2009: 311-321 - [p1]Mario Ignacio Chacon Murguia, Leonardo Valencia Olvera, Alfonso Delgado Reyes:
EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding. Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 2009: 177-195 - 2008
- [c11]Mario Ignacio Chacon Murguia, Juan I. Nevarez-Santana:
A fuzzy clustering approach on the classification of non uniform cosmetic defects. FUZZ-IEEE 2008: 98-103 - [c10]Mario I. Chacon, Claudia Prieto, R. Sandoval, Alejandro Rodríguez:
A soft image edge detection approach based on the time matrix of a PCNN. IJCNN 2008: 463-469 - 2007
- [j4]Mario Ignacio Chacon Murguia, Alma Delia Corral Sáenz, Rafael Sandoval-Rodriguez:
A Fuzzy Approach on Image Complexity Measure. Computación y Sistemas 10(3) (2007) - [j3]Mario Ignacio Chacon Murguia, Pablo Rivas P., Graciela Ramírez Alonso:
A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors. Eng. Lett. 15(1): 35-44 (2007) - [c9]Mario I. Chacon, Waldo J. Perez-Regalado:
A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces. IJCNN 2007: 230-235 - [c8]Mario I. Chacon, Juan I. Nevarez, Jose Rivera:
Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses. IJCNN 2007: 789-794 - [c7]Mario Ignacio Chacon Murguia, Alejandro S. Zimmerman, Pablo Rivas P.:
Image Processing Applications with a PCNN. ISNN (3) 2007: 884-893 - 2006
- [c6]Mario I. Chacon, Graciela Ramírez Alonso:
Fuzzy Clustering Algorithms in Subjective Classification Tasks. FUZZ-IEEE 2006: 2309-2316 - [c5]Javier Vega-Pineda, Mario Ignacio Chacon Murguia, Roberto Camarillo-Cisneros:
Synthesis of Pulsed-Coupled Neural Networks in FPGAs for Real-Time Image Segmentation. IJCNN 2006: 4051-4055 - [c4]Mario I. Chacon, Graciela Ramírez Alonso:
Wood Defects Classification Using a SOM/FFP Approach with Minimum Dimension Feature Vector. ISNN (2) 2006: 1105-1110 - 2005
- [j2]Graciela María de Jesús Ramírez Alonso, Mario Ignacio Chacon Murguia:
Clasificación de Defectos en Madera utilizando Redes Neuronales Artificiales. Computación y Sistemas 9(1) (2005) - 2003
- [c3]Mario Ignacio Chacon Murguia, Alejandro S. Zimmerman:
Image processing using the PCNN time matrix as a selective filter. ICIP (1) 2003: 877-880 - 2002
- [j1]Mario Ignacio Chacon Murguia:
A Fuzzy Neural Network Approach for Document Region Classification Using Human Visual Perception Features. Computación y Sistemas 6(2) (2002) - 2001
- [c2]Mario Ignacio Chacon Murguia, Luis Enrique Aguilar, Abdi Delgado:
Fuzzy Adaptive Edge Definition Based on the Complexity of the Image. FUZZ-IEEE 2001: 675-678
1990 – 1999
- 1999
- [c1]Mario I. Chacon Murguia, Jay B. Jordan:
Fuzzy neural network for document region classification using human visual perception features. IJCNN 1999: 2908-2913
Coauthor Index
Graciela María de Jesús Ramírez Alonso
aka: Graciela Ramírez Alonso
aka: Graciela Ramírez Alonso
Juan A. Ramirez-Quintana
aka: Juan Alberto Ramirez-Quintana
aka: Juan Alberto Ramirez-Quintana
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