Mario Ignacio Chacon Murguia
Orcid: 0000-0002-5382-9424Affiliations:
- National Institute of Technology of Mexico, Mexico City, Mexico
According to our database1,
Mario Ignacio Chacon Murguia
authored at least 91 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
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., August, 2024
Meta-learning methodology based on meta-unsupervised algorithm for meta-model selection to solve few-shot base-tasks.
Neural Comput. Appl., June, 2024
Emotion Recognition Method Based on EEG Signal Processing, Simplified Inception Network and Discrete Model.
Proceedings of the Advances in Soft Computing, 2024
Deep Neural Network Evaluation for Emotion Recognition through Facial Expressions Analysis.
Proceedings of the 21st International Conference on Electrical Engineering, 2024
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
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
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
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
Proceedings of the 19th International Conference on Electrical Engineering, 2022
2021
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
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
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
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
Proceedings of the 16th International Conference on Electrical Engineering, 2019
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
Proceedings of the 15th International Conference on Electrical Engineering, 2018
2017
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
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
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
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015
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
IEEE Consumer Electron. Mag., 2015
Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection.
Appl. Soft Comput., 2015
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015
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
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015
2014
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
Proceedings of the 11th International Conference on Electrical Engineering, 2014
2013
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013
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
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
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
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
Proceedings of the Sixth International Symposium on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009
2008
Proceedings of the International Joint Conference on Neural Networks, 2008
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
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
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
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Computación y Sistemas, 2005
Cosmetic defect classification found in ophthalmic lenses using artificial neural networks.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
2003
Proceedings of the International Joint Conference on Neural Networks, 2003
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
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