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Juan A. Ramirez-Quintana

Juan Alberto Ramirez-Quintana

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Journal Articles

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2024
[j15]
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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)
2023
[j14]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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

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2024
[c18]
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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
[c17]
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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]
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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]
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  - conf/iceee/Macias-MaciasRT22
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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]
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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]
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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]
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  - conf/iceee/AlejandroAAD20
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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]
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  - conf/iceee/Alvarez-PrietoM20
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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]
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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]
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  - conf/fuzzIEEE/Madrid-HerreraM19
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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]
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Eduardo Rivas-Posada, Mario Ignacio Chacon Murguia, Juan Alberto Ramirez-Quintana:
Classification of Motor Imagery Using Statistical Models. CCE 2019: 1-6
[c7]
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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]
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  - conf/iceee/Olivas-PadillaM17
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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]
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  - conf/icpr/MurguiaRA16
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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]
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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]
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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]
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  - conf/dsp-spe/EustacioIA15
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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]
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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

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2020
[p2]
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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]
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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

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