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ORCIDJuan A. Ramirez-Quintana
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Journal Articles
- 2023
[j14]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)- [j13]Alan Hernandez-Galvan, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana:
A prototypical network for few-shot recognition of speech imagery data. Biomed. Signal Process. Control. 86(Part A): 105154 (2023) - [j12]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) - 2022
- [j11]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) - 2021
- [j10]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) - [j9]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) - 2020
- [j8]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) - 2019
- [j7]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) - 2018
- [j6]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) - [j5]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) - 2017
- [j4]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) - 2015
- [j3]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) - [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c17]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 - [c16]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
- [c15]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 - [c14]Sebastián Rascón-Cervantes, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana, Manuel Montes-y-Gómez, J. Roberto López-Santillán:
OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. MCPR 2022: 305-315 - [c13]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 - 2020
- [c12]Oscar Alejandro Soto-Orozco, Juan Alberto Ramirez-Quintana, Jesus Alonso Reyes-Porras, Alma Delia Corral Sáenz:
Efficient Joined Pyramid Network Applied to Semantic Segmentation for GPU Embedded System. CCE 2020: 1-6 - [c11]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 - [c10]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 - 2019
- [c9]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 - [c8]Eduardo Rivas-Posada, Mario Ignacio Chacon Murguia, Juan Alberto Ramirez-Quintana:
Classification of Motor Imagery Using Statistical Models. CCE 2019: 1-6 - [c7]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 - 2017
- [c6]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 - 2016
- [c5]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 - [c4]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 - [c3]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
- [c2]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 - 2013
- [c1]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
Parts in Books or Collections
- 2020
- [p2]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 - 2015
- [p1]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
Coauthor Index
aka: Graciela Ramírez Alonso
aka: Mario I. Chacon Murguia
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