Juan A. Ramirez-Quintana
Orcid: 0000-0003-4445-6555
According to our database1,
Juan A. Ramirez-Quintana
authored at least 33 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Biomed. Signal Process. Control., 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
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 Pattern Recognition - 14th Mexican Conference, 2022
A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images.
Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022
Proceedings of the 19th International Conference on Electrical Engineering, 2022
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
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
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
Efficient Joined Pyramid Network Applied to Semantic Segmentation for GPU Embedded System.
Proceedings of the 17th International Conference on Electrical Engineering, 2020
2019
Image Vis. 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
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
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
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
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015
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