Mario Ignacio Chacon Murguia

Orcid: 0000-0002-5382-9424

Affiliations:
  • National Institute of Technology of Mexico, Mexico City, Mexico


According to our database1, Mario Ignacio Chacon Murguia authored at least 85 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A CNN-based modular classification scheme for motor imagery using a novel EEG sampling protocol suitable for IoT healthcare systems.
Neural Comput. Appl., November, 2023

Moving Object Detection in Video Sequences Based on a Two-Frame Temporal Information CNN.
Neural Process. Lett., October, 2023

Automatic base-model selection for white blood cell image classification using meta-learning.
Comput. Biol. Medicine, September, 2023

Interpretation of a deep analysis of speech imagery features extracted by a capsule neural network.
Comput. Biol. Medicine, June, 2023

A novel Deep Capsule Neural Network for Vowel Imagery patterns from EEG signals.
Biomed. Signal Process. Control., March, 2023

Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation.
Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples.
Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

Parasite Detection in Copro Images with a modified Faster R-CNN.
Proceedings of the 20th International Conference on Electrical Engineering, 2023

2022
A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex.
Cogn. Process., 2022

Shrimp Shape Analysis by a Chord Length Function Based Methodology.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

Analysis Regarding The Learning-To-Learn Process In The Implementation Of A Meta-Supervised Algorithm For Few-Shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Recognition of P300 Wave and SSVEP using a Capsule Neural Network.
Proceedings of the 19th International Conference on Electrical Engineering, 2022

2021
DeepFoveaNet: Deep Fovea Eagle-Eye Bioinspired Model to Detect Moving Objects.
IEEE Trans. Image Process., 2021

Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction.
Signal Image Video Process., 2021

Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes.
Cogn. Comput., 2021

General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Fuzzy Modular Neural Model for Blinking Coding Detection and Classification for Linguistic Expression Recognition.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

A new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns.
Signal Image Video Process., 2020

Human-like evaluation method for object motion detection algorithms.
IET Comput. Vis., 2020

Feature Extraction Evaluation for Two Motor Imagery Recognition Based on Common Spatial Patterns, Time-Frequency Transformations and SVM.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning Networks for Vowel Speech Imagery.
Proceedings of the 17th International Conference on Electrical Engineering, 2020

Analysis of CNN Models to develop a New Appearance Model for Multiple-Object-Tracking.
Proceedings of the 17th International Conference on Electrical Engineering, 2020

2019
A novel instrument to compare dynamic object detection algorithms.
Image Vis. Comput., 2019

Classification of multiple motor imagery using deep convolutional neural networks and spatial filters.
Appl. Soft Comput., 2019

Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Classification of Motor Imagery Using Statistical Models.
Proceedings of the 16th International Conference on Electrical Engineering, 2019

Human Image Complexity Analysis Using a Fuzzy Inference System.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Detection of Dynamic Objects in Videos Using LBSP and Fuzzy Gray Level Difference Histograms.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Bio-inspired architecture for static object segmentation in time varying background models from video sequences.
Neurocomputing, 2018

Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping.
Appl. Intell., 2018

Algortihm for Daphnia Motion Detection in Toxicological Studies.
Proceedings of the 15th International Conference on Electrical Engineering, 2018

2017
UAV Image Segmentation Using a Pulse-Coupled Neural Network for Land Analysis.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update.
Pattern Recognit. Lett., 2017

Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters.
Proceedings of the 14th International Conference on Electrical Engineering, 2017

2016
Object detection in video sequences by a temporal modular self-adaptive SOM.
Neural Comput. Appl., 2016

Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos.
Neurocomputing, 2016

Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016

Background modeling on depth video sequences using self-organizing retinotopic maps.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Segmentation of video background regions based on a DTCNN-clustering approach.
Signal Image Video Process., 2015

Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios.
Pattern Recognit., 2015

An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios.
Neural Process. Lett., 2015

Detecting Driver Drowsiness: A survey of system designs and technology.
IEEE Consumer Electron. Mag., 2015

Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection.
Appl. Soft Comput., 2015

Automatic Segmentation of Regions of Interest in Breast Thermographic Images.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

A fuzzy computer aided diagnosis system using breast thermography.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Body markers detection based on 3D video processing oriented to children gait analysis.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

A neural bio-inspired scheme for head pose recognition.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014
A DTCNN Approach on Video Analysis: Dynamic and Static Object Segmentation.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Segmentation of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms.
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014

Thermal Image Processing for Breast Symmetry Detection Oriented to Automatic Breast Cancer Analysis.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Rao-blackwellized particle filter for multiple object tracking in video analysis.
Proceedings of the 11th International Conference on Electrical Engineering, 2014

2013
Practical Aspects on the Implementation of Iterative ANN Models on GPU Technology.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

A Fuzzy Scheme for Gait Cycle Phase Detection Oriented to Medical Diagnosis.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Improvement of a neural-fuzzy motion detection vision model for complex scenario conditions.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
An Adaptive Neural-Fuzzy Approach for Object Detection in Dynamic Backgrounds for Surveillance Systems.
IEEE Trans. Ind. Electron., 2012

Human Sign Recognition for Robot Manipulation.
Proceedings of the Pattern Recognition - 4th Mexican Conference, 2012

2011
Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

Thermal Video Analysis for Fire Detection Using Shape Regularity and Intensity Saturation Features.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

2010
Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Scene Recognition Based on Fusion of Color and Corner Features.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Subjective measurement of cosmetic defects using a Computational Intelligence approach.
Eng. Appl. Artif. Intell., 2010

2009
EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Multiblob Cosmetic Defect Description/Classification Using a Fuzzy Hierarchical Classifier.
IEEE Trans. Ind. Electron., 2009

Edge Detection Based on a PCNN-Anisotropic Diffusion Synergetic Approach.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Simplified SOM-neural model for video segmentation of moving objects.
Proceedings of the International Joint Conference on Neural Networks, 2009

Mobile robot for face recognition: A collaborative environment.
Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009

2008
A soft image edge detection approach based on the time matrix of a PCNN.
Proceedings of the International Joint Conference on Neural Networks, 2008

A fuzzy clustering approach on the classification of non uniform cosmetic defects.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors.
Eng. Lett., 2007

A Fuzzy Approach on Image Complexity Measure.
Computación y Sistemas, 2007

Image Processing Applications with a PCNN.
Proceedings of the Advances in Neural Networks, 2007

A Combined Fuzzy Clustering -Neuron Approach in the Segmentation of Non-uniform Color Surfaces.
Proceedings of the International Joint Conference on Neural Networks, 2007

Recognition of Natural and Non-Natural Defects Presented in Ophthalmic Lenses.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Wood Defects Classification Using a SOM/FFP Approach with Minimum Dimension Feature Vector.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Synthesis of Pulsed-Coupled Neural Networks in FPGAs for Real-Time Image Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2006

Fuzzy Clustering Algorithms in Subjective Classification Tasks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Clasificación de Defectos en Madera utilizando Redes Neuronales Artificiales.
Computación y Sistemas, 2005

2003
Image processing using the PCNN time matrix as a selective filter.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
A Fuzzy Neural Network Approach for Document Region Classification Using Human Visual Perception Features.
Computación y Sistemas, 2002

2001
Fuzzy Adaptive Edge Definition Based on the Complexity of the Image.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

1999
Fuzzy neural network for document region classification using human visual perception features.
Proceedings of the International Joint Conference Neural Networks, 1999


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