Juan A. Ramirez-Quintana

发表

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, 2020, Signal, Image and Video Processing.

Fuzzy Modular Neural Model for Blinking Coding Detection and Classification for Linguistic Expression Recognition

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Carlos E. Cañedo-Figueroa, 2020, Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms.

Self-organizing retinotopic maps applied to background modeling for dynamic object segmentation in video sequences

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update

Mario Ignacio Chacon Murguia, Graciela María de Jesús Ramírez Alonso, Juan A. Ramirez-Quintana, 2017, Pattern Recognit. Lett..

Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysis

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, 2015, Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization.

An Adaptive Unsupervised Neural Network Based on Perceptual Mechanism for Dynamic Object Detection in Videos with Real Scenarios

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, M. I. Chacon-Murguia, 2014, Neural Processing Letters.

Segmentation of video background regions based on a DTCNN-clustering approach

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, David Urias-Zavala, 2014, Signal, Image and Video Processing.

Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset

Mario Ignacio Chacon Murguia, Graciela María de Jesús Ramírez Alonso, Juan A. Ramirez-Quintana, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters

Mario Ignacio Chacon Murguia, Brenda E. Olivas-Padilla, Juan A. Ramirez-Quintana, 2017, 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Background modeling on depth video sequences using self-organizing retinotopic maps

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Oscar Alejandro Chavez-Montes, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Mario Ignacio Chacon Murguia, Graciela María de Jesús Ramírez Alonso, Juan A. Ramirez-Quintana, 2018, Applied Intelligence.

Novel SSVEP Processing Method Based on Correlation and Feedforward Neural Network for Embedded Brain Computer Interface

Juan A. Ramirez-Quintana, Mario I. Chacon Murguia, Alma Delia Corral Sáenz, 2019, MCPR.

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

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, 2018, Neurocomputing.

Self-adaptive SOM-CNN neural system for dynamic object detection in normal and complex scenarios

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, 2015, Pattern Recognit..

Human Image Complexity Analysis Using a Fuzzy Inference System

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Luis Madrid-Herrera, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, Alma Delia Corral Sáenz, 2016, MCPR.

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

Mario I. Chacon-Murguia, Juan A. Ramirez-Quintana, M. I. Chacon-Murguia, 2020, Cognitive Computation.

A novel instrument to compare dynamic object detection algorithms

Graciela María de Jesús Ramírez Alonso, Abimael Guzmán-Pando, Juan A. Ramirez-Quintana, 2019, Image Vis. Comput..

Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction

Mario Ignacio Chacon Murguia, Juan A. Ramirez-Quintana, M. I. Chacon-Murguia, 2021, Signal, Image and Video Processing.